Role OverviewAs a Data Engineer at AWS, you will work in a large, complex, and dynamic data warehousing environment. You will integrate multiple heterogeneous data sources with AWS Marketing Data Warehouse - Jarvis and build efficient, flexible, and scalable data warehouse and reporting solutions. You will have control over every layer you build, owning a core segment of a growing marketing platform serving 1000s of internal customers and millions of external customers.
What You Will Do
Your day-to-day responsibilities will include designing, implementing, and supporting a platform providing ad-hoc access to large datasets, interfacing with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL, and building robust and scalable data integration (ETL) pipelines using SQL, Python, and AWS services.
Why It Might Be a Fit
You will have opportunities to engage directly with AWS teams to improve our core offerings, work with business owners to develop and define key business questions, and build the data sets that answer those questions. You will be passionate about working with huge data sets and bringing datasets together to answer business questions and drive growth.
Requirements
- 1+ years of data engineering experience
- Experience with data modeling, warehousing, and building ETL pipelines
- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
- Experience with one or more scripting language (e.g., Python, KornShell)
Benefits
- base salary range: $101,300.00 - $160,000.00 USD annually
- sign-on payments
- restricted stock units (RSUs)
- health insurance (medical, dental, vision, prescription)
- 401(k) matching
- paid time off
- parental leave
- Flexible Spending Accounts
- Adoption and Surrogacy Reimbursement coverage
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