Data Engineer, Data Platform Management, Grocery Management Tech

Amazon • Austin, TX

2d

About The Position

Amazon's Worldwide Grocery Stores-Grocery Tech Foundation team is seeking an
experienced Data Engineer to lead medium to large cross-functional strategic
initiatives that support WWGS strategic goals. This is a unique opportunity for
someone inspired by WWGS core values and is interested in Amazon’s high-growth
grocery business to bring their whole self to the role.

The Data Platform Management (DPM) team under Grocery Tech Foundation (GTF) is
responsible for data and reporting solutions for Grocery business users. We
enable sophisticated, fact-based decision making across WWGST by delivering
constantly evolving technology and analytic capabilities. This team will solve
challenging and novel problems every day while collaborating with multiple teams
across WWGST. You will be able to enjoy and contribute to the unique blend of
Amazon and WFM Tech culture.

Requirements

• 5+ years of data engineering experience
• 3+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience
• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
• Experience using business intelligence reporting tools such as OBIEE, Business Objects, Cognos, Tableau, MicroStrategy, SSAS Cubes, etc.
• Experience with any ETL tool like, Informatica, ODI, SSIS, Datastage, etc.
• Experience with programming languages like Python, Pyspark or equivalent
• Experience in reverse engineering legacy analytical/reporting applications where minimal documentation is available.

Nice To Haves

• AWS certification, such as, AWS Solutions Architect, or a similar cloud certification, or Associate's degree or above
• Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
• Experience in Database like NoSQL, or experience in any Bigdata architecture and experience that includes strong analytical skills, attention to detail, and effective communication abilities
• Experience in leveraging GenAI capabilities to enhance and improve SDLC processes

Responsibilities

• Participate in on-call rotation to provide support for custom-built reporting and analytical applications, ensuring business-as-usual operations and timely data delivery for business users.
• Lead data integration, reporting, and analytics projects, leveraging experience in enterprise data engineering.
• Understand business requirements, design and implement scalable data model, ETL processes and reporting to address business needs.
• Design and build next-generation data infrastructure to replace existing third-party solutions.
• Collaborate cross-functionally with Data Engineers, Software Developers, Business Intelligence Engineers, Analysts, Product Managers, and Program Managers.
• Transform complex datasets into automated, digestible analytic deliverables.
• Demonstrate strong organizational skills, decisiveness, and ownership while working in a team environment.
• Drive significant impact through modernized design, architecture, and development of data products.
• Contribute technical expertise to help transition the organization from legacy solutions to future-state data infrastructure.
• Partner with data engineering team members to deliver on strategic vision and objectives.

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Associate degree