Role Overview
Design, build, and optimize data pipelines and architectures that transform raw data into actionable insights. Work alongside software engineers, data scientists, analysts, and business stakeholders to create reliable, performant data solutions that power critical decision-making.
What You Will Do
Design and build scalable ETL/ELT pipelines and data infrastructure, create coherent logical and physical data models, develop and optimize SQL queries, and collaborate with analysts and stakeholders to translate requirements into well-architected data solutions.
Why It Might Be a Fit
You will regularly engage in code reviews, contribute to team planning, and collaborate across functions to keep data solutions aligned with evolving business priorities. If you are excited about solving complex data problems, working with curious and motivated colleagues, and growing your technical impact, we would love to hear from you.
Requirements
- 4+ years of data engineering experience
- Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
- Knowledge of professional software engineering & best practices for full software development life cycle
- Knowledge of batch and streaming data architectures like Kafka, Kinesis, Flink, Storm, Beam
- Knowledge of distributed systems as it pertains to data storage and computing
- Bachelor’s degree or foreign equivalent in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
Benefits
- Comprehensive benefits including health insurance, 401(k) matching, paid time off, and parental leave
- Sign-on payments and restricted stock units (RSUs)
- Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage
To apply for this job please visit amazon.jobs.
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