McAfee – Data Scientist (Data Engineering & Analysis) – Ontario

Company: McAfee

Location: Ontario

Expected salary:

Job date: Wed, 20 Nov 2024 23:20:00 GMT

Job description: Role Overview:As a Data Scientist at McAfee, you will work closely with our data engineering and analytics teams to profile, transform, interpret data, and build a 360° view of our customers. Your primary focus will be to dive deep into datasets, understand how they relate to business goals, and shape data to drive insights and business metrics. You will use languages like SQL, Python to extract, manipulate, and analyze data, and contribute to developing robust customer 360 attributes.In this role, you would focus on hands-on data profiling, transformations, and analysis. We are looking for a strong sense of curiosity, problem-solving ability, and a knack for working through data challenges.Location: This is a Hybrid position in Canada. Candidates who live within commutable distance of Waterloo or Toronto are preferred. You will be required to be onsite from time to time as determined by the needs of the business.About the role:Work with large and diverse datasets to profile, clean, and transform data for analysis.Build and refine data pipelines, ensuring data is structured and ready for analytical use.Use SQL and Python for querying, transforming, and analyzing data from various sources.Perform data profiling to understand data characteristics and uncover patterns and anomalies.Collaborate with stakeholders to understand business metrics and ensure data aligns with key business objectives.Support the development of customer 360° views by integrating data from various sources and creating relevant attributes.Continuously explore and ask questions about the data to uncover new insights and drive better decision-making.Maintain clear documentation of data transformation processes and methodologies.About You:Proficiency in SQL for complex data queries and data transformations.Strong experience with Python for data manipulation, analysis, and pipeline development.Hands-on experience working with large datasets, data profiling, and transforming raw data into structured formats.Familiarity with Databricks or other big data platforms is a plus.Excellent problem-solving skills with a curiosity-driven approach to exploring data.Ability to think critically and connect data insights to business metrics.Comfortable working with ambiguity and incomplete data, and can proactively seek solutions.Knowledge of data science concepts (e.g., basic statistics, predictive modeling, recommendation systems).Familiarity with cloud-based data infrastructure (e.g., AWS, Azure) is a plus.Understanding of Ad Tech, Martech and customer analytics, especially in a Customer360 context is a plus.#LI-RemoteCompany OverviewMcAfee is a leader in personal security for consumers. Focused on protecting people, not just devices, McAfee consumer solutions adapt to users’ needs in an always online world, empowering them to live securely through integrated, intuitive solutions that protects their families and communities with the right security at the right moment.Company Benefits and Perks:We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.

  • Bonus Program
  • Pension and Retirement Plans
  • Medical, Dental and Vision Coverage
  • Paid Time Off
  • Paid Parental Leave
  • Support for Community Involvement

We’re serious about our commitment to diversity which is why McAfee prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.

McAfee – Senior Machine Learning Scientist (Pricing & Recommendations) – Remote – Ontario

Company: McAfee

Location: Ontario

Expected salary:

Job date: Fri, 25 Oct 2024 23:16:53 GMT

Job description: Role Overview:Be the Architect of Personalized Experiences at McAfee as our Senior Machine Learning Scientist for Pricing & Recommendations.Are you passionate about harnessing the power of data to drive impactful business decisions?McAfee is seeking a Senior ML Scientist to play a pivotal role in shaping the future of our consumer journey through cutting-edge Machine Learning solutions for pricing and recommendations. Join us and make a tangible difference in the lives of our customers by developing innovative solutions that deliver personalized experiences and optimize value.This is a Hybrid position in Canada. Candidates who live within commutable distance of Vancouver, Waterloo, or Toronto are preferred.You will be required to be onsite from time to time as determined by the needs of the business (Avg. 4 to 12 days a month). We are only considering candidates located in Canada and are not providing relocation at this time.About The Role:

  • Ability to attend meetings and discussions during overlapping Pacific Standard Time (PST) hours (must-have).
  • Conceptualize, design, and implement state-of-the-art ML models for dynamic pricing strategies and personalized product recommendations.
  • Develop, implement, and deploy machine learning models that leverage our unique combination of user behavior and subscription data to improve consumer value from our products.
  • Engineer and maintain large-scale consumer behavioral feature stores while ensuring scalability and performance.
  • Develop and maintain data pipelines and infrastructure to support efficient and scalable ML model development and deployment.
  • Collaborate with cross-functional teams (Marketing, Product, Sales) to ensure your solutions align with strategic objectives and deliver real-world impact.
  • Create algorithms for optimizing consumer journeys and increasing conversion and monetization.
  • Design, analyze, and troubleshoot controlled experiments (Causal A/B tests, Multivariate tests) to validate your solutions and measure their effectiveness.

About You:

  • 7 to 9 years of experience in one or more of the following areas: machine learning (including deep learning), recommendation systems, pattern recognition, data mining or artificial intelligence.
  • Experience with Classical and Traditional ML including Classification, Clustering, and Regression using XGBoost, Random Forest, SVM, DB Scan, Gaussian Mixture Models, KMeans, and KNN .
  • Experience with intermediate SQL – Window Functions, Group by, Joins, Partition.
  • Experience in handling Tabular data processing, including sparsity, cardinality analysis, standardization, encoding, etc.
  • Proficient in Python, SQL, intermediate data engineering skill set with tools, libraries, or frameworks such as MapReduce, Hadoop, Hive and Big Data technologies, scikit-learn, Keras, TensorFlow, PyTorch etc.
  • Experience with various ML techniques and frameworks, e.g., data discretization, normalization, sampling, linear regression, decision trees, deep neural networks, etc.
  • Experience in building industry-standard recommender systems and pricing models.
  • Expertise in MLOps, ML Engineering and Solution Design.

#LI-HybridCompany OverviewMcAfee is a leader in personal security for consumers. Focused on protecting people, not just devices, McAfee consumer solutions adapt to users’ needs in an always online world, empowering them to live securely through integrated, intuitive solutions that protects their families and communities with the right security at the right moment.Company Benefits and Perks:We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.

  • Bonus Program
  • Pension and Retirement Plans
  • Medical, Dental and Vision Coverage
  • Paid Time Off
  • Paid Parental Leave
  • Support for Community Involvement

We’re serious about our commitment to diversity which is why McAfee prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.

McAfee – Senior Data Scientist – Remote – Ontario

Company: McAfee

Location: Ontario

Expected salary:

Job date: Wed, 02 Oct 2024 05:27:22 GMT

Job description: Role Overview:Passionate about Large Language Models, Natural Language Processing, Image Generation and Classification, and more?Have you ever trained or fine-tuned an LLM or Diffusion model to see what you can make it do? Do you grok the differences between training an LLM or Diffusion model from scratch and fine-tuning? Do you like to explore the “What Ifs”?Why be a little fish in a big pond when you can join McAfee’s Advanced AI team and make an immediate global impact on McAfee’s millions of customers worldwide?We’re seeking innovative AI Data Science Engineers who aren’t afraid to get their hands dirty in the code and explore unique ways to leverage the emerging field of Generative AI to solve security and privacy problems.This is a remote position based in Canada. We will only consider candidates currently in Canada and are not offering relocation assistance at this time.About the role:

  • Apply subject matter expertise in LLMs (Large Language Models) and Generative AI in the development of machine learning-driven solutions to protect the digital lives of our customers
  • Apply statistical and machine learning knowledge aimed at identifying opportunities to improve upon existing protection capabilities using supervised and unsupervised modeling techniques
  • Apply data wrangling skills toward cleaning data and building data pipelines from which to implement model monitoring dashboards and machine learning models
  • Apply data mining and exploration skills on raw and cleaned data in a variety of formats to uncover insights for data-driven decision-making
  • Work with stakeholders across the organization to identify opportunities utilizing big data from many different sources
  • Use data visualization techniques and storytelling skills to convey research results in a meaningful manner with recommendations backed by data
  • Own data science projects of varying scope from concept to delivery while focusing on delivering a solution to address the original problem statement to achieve success

About you:

  • You have worked with and understand LLMs (Large Language Models) and Generative AI
  • You have 10+ years of experience as a data scientist manipulating large datasets, building data pipelines and machine learning models. Work experience in the cybersecurity industry is a plus.
  • Have recently published articles in leading journals on Artificial Intelligence
  • You have extensive experience with Python, PySpark, R, SQL and cloud platforms such as AWS, GCP and Databricks
  • You are self-motivated and comfortable working remotely in collaboration with an international team.
  • You have strong problem-solving skills that can be applied to data wrangling, exploratory data analysis, data visualization, model development, model measurement, model deployment, and model monitoring.
  • We prefer that you possess a Master’s or PhD in Statistics, Data Science, Computer Science or other quantitative field.

#LI-RemoteCompany OverviewMcAfee is a leader in personal security for consumers. Focused on protecting people, not just devices, McAfee consumer solutions adapt to users’ needs in an always online world, empowering them to live securely through integrated, intuitive solutions that protects their families and communities with the right security at the right moment.Company Benefits and Perks:We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.

  • Bonus Program
  • Pension and Retirement Plans
  • Medical, Dental and Vision Coverage
  • Paid Time Off
  • Paid Parental Leave
  • Support for Community Involvement

We’re serious about our commitment to diversity which is why McAfee prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.

McAfee – Senior Data Scientist (ML) – Remote – Ontario

Company: McAfee

Location: Ontario

Expected salary:

Job date: Thu, 31 Oct 2024 02:33:24 GMT

Job description: Role Overview:McAfee is seeking a Senior Data Scientist to play a pivotal role in shaping the future of our consumer journey through cutting-edge Machine Learning (ML) solutions for pricing and recommendations. Join us and make a tangible difference in the lives of our customers by developing innovative solutions that deliver personalized experiences and optimize value.This is a Hybrid position located in Canada. Candidates who live within a commutable distance of either Waterloo or Toronto are preferred.You will be required to be onsite from time to time as determined by the needs of the business (Avg. 4 to 12 days a month). We are only considering candidates located in Canada and are not providing relocation at this time.About The Role:

  • Ability to attend meetings and discussions during overlapping Pacific Standard Time (PST) hours (must-have).
  • Conceptualize, design, and implement state-of-the-art ML models for dynamic pricing strategies and personalized product recommendations.
  • Develop, implement, and deploy machine learning models that leverage our unique combination of user behavior and subscription data to improve consumer value from our products.
  • Engineer and maintain large-scale consumer behavioral feature stores while ensuring scalability and performance.
  • Develop and maintain data pipelines and infrastructure to support efficient and scalable ML model development and deployment.
  • Collaborate with cross-functional teams (Marketing, Product, Sales) to ensure your solutions align with strategic objectives and deliver real-world impact.
  • Create algorithms for optimizing consumer journeys and increasing conversion and monetization.
  • Design, analyze, and troubleshoot controlled experiments (Causal A/B tests, Multivariate tests) to validate your solutions and measure their effectiveness.

About You:

  • 7 to 9 years of experience in one or more of the following areas: machine learning (including deep learning), recommendation systems, pattern recognition, data mining or artificial intelligence.
  • Proficient in Python, SQL, intermediate data engineering skill set with tools, libraries, or frameworks such as MapReduce, Hadoop, Hive and Big Data technologies, scikit-learn, Keras, TensorFlow, PyTorch etc.
  • Experience with various ML techniques and frameworks, e.g., data discretization, normalization, sampling, linear regression, decision trees, deep neural networks, etc.
  • Experience in building industry-standard recommender systems and pricing models.
  • Expertise in MLOps, ML Engineering and Solution Design.

#LI-RemoteCompany OverviewMcAfee is a leader in personal security for consumers. Focused on protecting people, not just devices, McAfee consumer solutions adapt to users’ needs in an always online world, empowering them to live securely through integrated, intuitive solutions that protects their families and communities with the right security at the right moment.Company Benefits and Perks:We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.

  • Bonus Program
  • Pension and Retirement Plans
  • Medical, Dental and Vision Coverage
  • Paid Time Off
  • Paid Parental Leave
  • Support for Community Involvement

We’re serious about our commitment to diversity which is why McAfee prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.

McAfee – Senior Data Curation Engineer – Remote – Ontario

Company: McAfee

Location: Ontario

Expected salary:

Job date: Sun, 27 Oct 2024 05:34:05 GMT

Job description: Role Overview:We are seeking a seasoned data engineer to join our Enterprise Analytics team as a Data Curation Engineer, reporting to the Capability Lead – BI & Data Curation. As a key member of McAfee’s enterprise data curation strategy, you will be responsible for developing high-quality, certified, and curated data in the Databricks platform employing complex analytical modeling.This role requires a deep understanding of:
· Database modeling
· ETL/ELT
· Data aggregation
· Data curation design and development
· Certified data models and single sources of truth
· Data qualityThis is a Remote position located in Canada. We are only considering candidates located in Canada and are not providing relocation at this time.About the role:

  • Develop high-quality, curated data products including tables, schemas, and aggregates via SQL/SparkSQL
  • Understand data product requirements and liaise with Technical Data Stewards and business end-users to ensure alignment to business need
  • Ensure data products meet curation specifications, guidelines, governance standards, and business requirements in tandem with Lakehouse medallion architecture
  • Experience with data catalogs such as Unity and Collibra
  • Follow Agile sprint methodology
  • Implement change requests to production data curations
  • Ensure effective documentation and cataloging of data products
  • Ensure clear handoffs of data products to technical stewards

About you:

  • We Prefer a Bachelor’s degree in computer science, engineering, statistics, or related field
  • Bring 3+ years of experience in data engineering, data modeling, and ETL/ELT
  • Have hands-on experience with and understanding of the following:
  • SQL/SparkSQL
  • Python or other programming language
  • Databricks or other cloud data management platform
  • Data aggregation, relational database modeling, and common data structures
  • Design and implementation of logical and physical data modeling
  • ETL/ELT tools such as Apache Airflow
  • Data quality guidelines
  • Data governance and data curation models
  • Master data management
  • Data profiling
  • Bring proven experience in development within a Lakehouse data platform

#LI-RemoteCompany OverviewMcAfee is a leader in personal security for consumers. Focused on protecting people, not just devices, McAfee consumer solutions adapt to users’ needs in an always online world, empowering them to live securely through integrated, intuitive solutions that protects their families and communities with the right security at the right moment.Company Benefits and Perks:We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.

  • Bonus Program
  • Pension and Retirement Plans
  • Medical, Dental and Vision Coverage
  • Paid Time Off
  • Paid Parental Leave
  • Support for Community Involvement

We’re serious about our commitment to diversity which is why McAfee prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.

McAfee – Data Visualization – Remote – Ontario

Company: McAfee

Location: Ontario

Expected salary:

Job date: Wed, 30 Oct 2024 23:45:18 GMT

Job description: Role Overview:We are seeking a seasoned individual to join our Analytics team as a BI / Data Visualization Developer, reporting to the Director of Analytics. As a key member of McAfee’s data team, you will be responsible for data visualization and reporting for the companyThis role requires a deep understanding of:
· Data visualization
· Data analysis
· Reporting developmentThis is a Remote position located in Canada. We are only considering candidates located in Canada and are not providing relocation at this time.About the role:

  • Design and develop reports (dashboards and general visualizations) of KPIs and metrics based on business need and stakeholder feedback
  • Collaborate with Data Stewards and Data Curation Engineer to prepare data for visualization and ensure data quality
  • Interpret data model and identifies and develops queries to pull required data for reporting
  • Monitor data in reporting and reporting systems
  • Utilize curated data in dashboards to support aligned metric reporting
  • Understand UI/UX best practices to inform stakeholder engagement, KPI or metric documentation, and dashboard design

About you:

  • Bring 2+ years of experience in data analysis and reporting
  • Hold a Bachelor’s degree in computer science, analytics, economics, or related field
  • Have hands-on experience with and understanding of the following:
  • PowerBI, Tableau, and/or similar visualization tools
  • Business analysis
  • (Domain) experience
  • Exploratory data analysis
  • UI/UX development
  • SQL/SparkSQL
  • Version control

#LI-RemoteCompany OverviewMcAfee is a leader in personal security for consumers. Focused on protecting people, not just devices, McAfee consumer solutions adapt to users’ needs in an always online world, empowering them to live securely through integrated, intuitive solutions that protects their families and communities with the right security at the right moment.Company Benefits and Perks:We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.

  • Bonus Program
  • Pension and Retirement Plans
  • Medical, Dental and Vision Coverage
  • Paid Time Off
  • Paid Parental Leave
  • Support for Community Involvement

We’re serious about our commitment to diversity which is why McAfee prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.

McAfee – Data Scientist (ML) – Remote – Ontario

Company: McAfee

Location: Ontario

Expected salary:

Job date: Thu, 31 Oct 2024 05:18:23 GMT

Job description: Role Overview:McAfee is seeking a Senior Data Scientist to play a pivotal role in shaping the future of our consumer journey through cutting-edge Machine Learning (ML) solutions for pricing and recommendations. Join us and make a tangible difference in the lives of our customers by developing innovative solutions that deliver personalized experiences and optimize value.This is a Hybrid position located in Canada. Candidates who live within a commutable distance of either Waterloo or Toronto are preferred.You will be required to be onsite from time to time as determined by the needs of the business (Avg. 4 to 12 days a month). We are only considering candidates located in Canada and are not providing relocation at this time.About The Role:

  • Ability to attend meetings and discussions during overlapping Pacific Standard Time (PST) hours (must-have).
  • Conceptualize, design, and implement state-of-the-art ML models for dynamic pricing strategies and personalized product recommendations.
  • Develop, implement, and deploy machine learning models that leverage our unique combination of user behavior and subscription data to improve consumer value from our products.
  • Engineer and maintain large-scale consumer behavioral feature stores while ensuring scalability and performance.
  • Develop and maintain data pipelines and infrastructure to support efficient and scalable ML model development and deployment.
  • Collaborate with cross-functional teams (Marketing, Product, Sales) to ensure your solutions align with strategic objectives and deliver real-world impact.
  • Create algorithms for optimizing consumer journeys and increasing conversion and monetization.
  • Design, analyze, and troubleshoot controlled experiments (Causal A/B tests, Multivariate tests) to validate your solutions and measure their effectiveness.

About You:

  • 7 to 9 years of experience in one or more of the following areas: machine learning (including deep learning), recommendation systems, pattern recognition, data mining or artificial intelligence.
  • Proficient in Python, SQL, intermediate data engineering skill set with tools, libraries, or frameworks such as MapReduce, Hadoop, Hive and Big Data technologies, scikit-learn, Keras, TensorFlow, PyTorch etc.
  • Experience with various ML techniques and frameworks, e.g., data discretization, normalization, sampling, linear regression, decision trees, deep neural networks, etc.
  • Experience in building industry-standard recommender systems and pricing models.
  • Expertise in MLOps, ML Engineering and Solution Design.

#LI-RemoteCompany OverviewMcAfee is a leader in personal security for consumers. Focused on protecting people, not just devices, McAfee consumer solutions adapt to users’ needs in an always online world, empowering them to live securely through integrated, intuitive solutions that protects their families and communities with the right security at the right moment.Company Benefits and Perks:We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.

  • Bonus Program
  • Pension and Retirement Plans
  • Medical, Dental and Vision Coverage
  • Paid Time Off
  • Paid Parental Leave
  • Support for Community Involvement

We’re serious about our commitment to diversity which is why McAfee prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.

McAfee – Senior Manager Data Visualization – Remote – Ontario

Company: McAfee

Location: Ontario

Expected salary:

Job date: Thu, 31 Oct 2024 02:03:12 GMT

Job description: Role Overview:We are seeking a seasoned individual to join our Analytics team as a BI / Data Visualization Developer, reporting to the Director of Analytics. As a key member of McAfee’s data team, you will be responsible for data visualization and reporting for the companyThis role requires a deep understanding of:
· Data visualization
· Data analysis
· Reporting developmentThis is a Remote position located in Canada. We are only considering candidates located in Canada and are not providing relocation at this time.About the role:

  • Design and develop reports (dashboards and general visualizations) of KPIs and metrics based on business need and stakeholder feedback
  • Collaborate with Data Stewards and Data Curation Engineer to prepare data for visualization and ensure data quality
  • Interpret data model and identifies and develops queries to pull required data for reporting
  • Monitor data in reporting and reporting systems
  • Utilize curated data in dashboards to support aligned metric reporting
  • Understand UI/UX best practices to inform stakeholder engagement, KPI or metric documentation, and dashboard design

About you:

  • Bring 2+ years of experience in data analysis and reporting
  • Hold a Bachelor’s degree in computer science, analytics, economics, or related field
  • Have hands-on experience with and understanding of the following:
  • PowerBI, Tableau, and/or similar visualization tools
  • Business analysis
  • (Domain) experience
  • Exploratory data analysis
  • UI/UX development
  • SQL/SparkSQL
  • Version control

#LI-RemoteCompany OverviewMcAfee is a leader in personal security for consumers. Focused on protecting people, not just devices, McAfee consumer solutions adapt to users’ needs in an always online world, empowering them to live securely through integrated, intuitive solutions that protects their families and communities with the right security at the right moment.Company Benefits and Perks:We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.

  • Bonus Program
  • Pension and Retirement Plans
  • Medical, Dental and Vision Coverage
  • Paid Time Off
  • Paid Parental Leave
  • Support for Community Involvement

We’re serious about our commitment to diversity which is why McAfee prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.

McAfee – Senior Data Architect – Remote – Waterloo, ON

Company: McAfee

Location: Waterloo, ON

Expected salary:

Job date: Sat, 09 Nov 2024 05:06:33 GMT

Job description: Role Overview:We seek an analytical leader to join our Enterprise Data Platform team as a Senior Data Architect. As a McAfee’s enterprise data architecture team member, you will manage data platform architecture on the Databricks platform.This role requires a deep understanding of:
– Data lakehouse modeling and design
– ETL/ELT design
– Dimensional and relational data modeling
– Data warehouse design
– Security and PII managementThis is a Remote position located in Canada. We are only considering candidates located in Canada and are not providing relocation at this time.About the role:Design and organize data platforms, including databases and data structures, data storage, access, loading, and pipeline design.Collaborate with data stewards and data engineers on solution design.Develop and maintain physical data models for the Databricks platform.Manage metadata in data catalog tools, such as Collibra.Ensure adherence to data curation standards and guidelines for medallion certification framework and required architecture.Ensure the platform and platform design meet required security and compliance guidelines, including PII management.Provide oversight to data curation teams, ingestion engineers and data engineers, including code review and data model design review to ensure adherence to standards and best practices.​About you:Bring 6+ years of experience in data engineering, data modeling, and ETL/ELT.Have experience as a senior engineer, including conducting code reviews.Have hands-on experience with six or more of the following:Design and implementation of logical and physical data models.Data modeling tools, such as Erwin or ER/Studio.Databricks / Spark.Lakehouse architecture and medallion data organization.ETL/ELT development, monitoring, pipelining and orchestration.Python/PySpark, Scala or similar programming language.Data quality guidelines and testing frameworks.Creating technical design documents and data flow diagrams.CI/CD pipelines.Agile sprints.Git and version control.#LI-REMOTECompany OverviewMcAfee is a leader in personal security for consumers. Focused on protecting people, not just devices, McAfee consumer solutions adapt to users’ needs in an always online world, empowering them to live securely through integrated, intuitive solutions that protects their families and communities with the right security at the right moment.Company Benefits and Perks:We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.

  • Bonus Program
  • Pension and Retirement Plans
  • Medical, Dental and Vision Coverage
  • Paid Time Off
  • Paid Parental Leave
  • Support for Community Involvement

We’re serious about our commitment to diversity which is why McAfee prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.

McAfee – Senior Data Architect – Remote – Waterloo, ON

Company: McAfee

Location: Waterloo, ON

Expected salary:

Job date: Sat, 09 Nov 2024 06:12:12 GMT

Job description: Role Overview:We are seeking a seasoned analytical leader to join our Enterprise Data Platform team as a Senior Data Architect, reporting to the Capability Lead – Data Architecture. As a member of McAfee’s enterprise data architecture team, you will manage data platform architecture on the Databricks platform.This role requires a deep understanding of:
– Data lakehouse modeling and design
– ETL/ELT design
– Dimensional and relational data modeling
– Data warehouse design
– Security and PII managementThis is a Remote position located in Canada. We are only considering candidates located in Canada and are not providing relocation at this time.About the role:Design and organize data platforms, including databases and data structures, data storage, access, loading, and pipeline design.Collaborate with data stewards and data engineers on solution design.Develop and maintain physical data models for the Databricks platform.Manage metadata in data catalog tools, such as Collibra.Ensure adherence to data curation standards and guidelines for medallion certification framework and required architecture.Ensure the platform and platform design meets required security and compliance guidelines including PII management.Provide oversight to data curation teams, ingestion engineers and data engineers, including code review and data model design review to ensure adherence to standards and best practices.​About you:Bring 6+ years of experience in data engineering, data modeling, and ETL/ELT.Have experience as a senior engineer, including conducting code reviews.Have hands-on experience with six or more of the following:Design and implementation of logical and physical data models.Data modeling tools, such as Erwin or ER/Studio.Databricks / Spark.Lakehouse architecture and medallion data organization.ETL/ELT development, monitoring, pipelining and orchestration.Python/PySpark, Scala or similar programming language.Data quality guidelines and testing frameworks.Creating technical design documents and data flow diagrams.CI/CD pipelines.Agile sprints.Git and version control.#LI-REMORTCompany OverviewMcAfee is a leader in personal security for consumers. Focused on protecting people, not just devices, McAfee consumer solutions adapt to users’ needs in an always online world, empowering them to live securely through integrated, intuitive solutions that protects their families and communities with the right security at the right moment.Company Benefits and Perks:We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.

  • Bonus Program
  • Pension and Retirement Plans
  • Medical, Dental and Vision Coverage
  • Paid Time Off
  • Paid Parental Leave
  • Support for Community Involvement

We’re serious about our commitment to diversity which is why McAfee prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.