Company: Home Depot

Location: Toronto, ON

Expected salary:

Job date: Fri, 07 Feb 2025 00:12:31 GMT

Job description: SR ANALYST DATA ENGINEERING Press ENTER to read the content or TAB to skip.1 Concorde Gate, Toronto, ON M3C 4H9Req133838 Full Time Corporate RemoteWith a career at The Home Depot, you can be yourself and also be part of something bigger.Position Overview:OverviewAs a Data Engineer on the Analytics team, you will be working to improve the primary dataset and processing architecture, partnering with every other team under the Analytics umbrella – CRM, Marketing, or eCommerce – to help achieve their goals. You will develop efficient data capture and transformation processes and complex data models that form the core data foundation to enable analysts and data scientists, extending to self-serve solutions for the broader business teams.As a Data Engineer on the Analytics team, you will be working to improve the primary dataset and processing architecture, partnering with every other team under the Analytics umbrella – CRM, Marketing, or eCommerce – to help achieve their goals. You will develop efficient data capture and transformation processes and complex data models that form the core data foundation to enable analysts and data scientists, extending to self-serve solutions for the broader business teams.Key Responsibilities:

• Leading the design, development, and implementation of new and existing data processing solutions; enabling teams to be more efficient and effective in analyzing data and getting to insights faster.
• Work to optimize and scale reporting technologies such as Tableau and Looker.
• Be a key contributor in providing data extraction and management solutions to a diverse team of data analysts and data scientists as they develop best-in-class analytics solutions.
• Partner with IT Analytics/Engineering for design, implementation and maintenance of reliable data pipelines that feed various analytics applications and reporting, both structured and unstructured data.
• Proactively work with analysts and data scientists to understand data requirements and bring ideas to production.
• Maintaining the Analytics data project and data warehouse by keeping data organized and cleaned.

Competencies:

• Collaborates
• Action Oriented
• Drives Results
• Communicates Effectively
• Detail Oriented

Skills:

• Bachelor’s degree or higher in Computer Science or related discipline.
• 3+ years of experience with SQL database queries and programming.
• 2+ years of experience programming in Python.
• 2+ years of experience working with Google Cloud Platform and Google Composer.
• Experience handling unstructured data and building data pipelines, specifically from digital marketing or web clickstream platforms.
• Familiarity with data quality, cleansing and masking techniques.
• Deep understanding of algorithms and performance optimization.
• Strong interpersonal and communication skills and a demonstrated ability to work and collaborate in a team environment.

Direct Manager/Direct Reports:

• Manager, Data Engineering

Travel Requirements:

• Limited
• Travel to Toronto Store Support Location Quarterly

Physical Requirements:

• Example

Hybrid Work:

• Remote
• Travel to store locations as needed

Working Conditions:

• Working in an office setting: computer work, camera on virtual meetings

Minimum Education:

• Bachelor’s degree or higher in Computer Science or related discipline

Minimum Years of Work Experience:

• 2 years +

Minimum Leadership Experience:

• None

Certifications:

• None

Other Requirements/Assets:

• Experience with Looker, Tableau, Google Cloud Platform

The Home Depot is looking for a Senior Analyst in Data Engineering to join their team. The role involves improving data processing architecture, developing efficient data capture processes, and building complex data models to support analysts and data scientists. Key responsibilities include leading the design and implementation of data processing solutions, optimizing reporting technologies, and collaborating with IT Analytics/Engineering. The ideal candidate will have a Bachelor’s degree in Computer Science, experience with SQL and Python programming, and familiarity with Google Cloud Platform and data pipelines. Strong communication and collaboration skills are also required. The position is remote with limited travel requirements.