Data Engineer, Data Platform Management, Grocery Tech Foundations

Amazon • Austin, TX

29d • Onsite

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.

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.
• Ensure business continuity and on-time data delivery to business users.
• Work with your leadership to define and execute the reporting and analytics strategy for WWGST.
• Leverage Data Modeling, SQL and coding skills in languages like Python, Pyspark and Java to extract, transform, and load data.
• Collaborate closely with both internal and external teams to scope, design, build, and support efficient and cost-effective data pipelines focused on performance, operational excellence, and delivering business value.
• Participate in and lead standups, design sessions, and Jira management, creating necessary documentation and artifacts.
• Lead and mentor your peers.

Benefits

• sign-on payments
• restricted stock units (RSUs)
• 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