Data Engineer, AWS DC Operations

Data Engineer, AWS DC Central Operations

Data Engineers on this team design, build, and maintain data pipelines and analytics solutions that support AWS data center operations. You’ll collaborate with software, hardware, and network engineers, supply chain specialists, and other professionals to deliver high‑quality, secure data services that enable rapid decision‑making across the organization.

• Develop and maintain automated ETL pipelines (with monitoring) using scripting languages such as Python, Spark, SQL and AWS services such as S3, Glue, Lambda, SNS, SQS, KMS.
• Implement and support reporting and analytics infrastructure for internal business customers.
• Develop and maintain data security and permissions solutions for enterprise‑scale data warehouse and data lake implementations, including data encryption and database user access controls and logging.
• Develop data objects for business analytics using data modeling techniques.
• Develop and optimize data warehouse and data lake tables using best practices for DDL, physical and logical tables, data partitioning, compression, and parallelization.
• Develop and maintain data warehouse and data lake metadata, data catalog, and user documentation for internal business customers.
• Work with internal business customers and software development teams to gather and document requirements for data publishing and data consumption via data warehouse, data lake, and analytics solutions.

Imagine a day where you’re not just managing data, but crafting intelligent systems that tell compelling stories. You’ll dive into intricate data landscapes, designing pipelines that seamlessly connect AWS Data Center datasets, optimize performance, and unlock hidden patterns.

• Exploring innovative data transformation techniques
• Developing intelligent, automated reporting solutions
• Collaborating with cross‑functional teams to solve complex analytical challenges
• Researching emerging technologies that could revolutionize our data strategy

• 1+ years of data engineering experience
• Experience with data modeling, warehousing, and building ETL pipelines
• Experience with one or more query languages (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
• Experience with one or more scripting languages (e.g., Python, Korn Shell)

• Experience with big data technologies such as Hadoop, Hive, Spark, EMR
• Experience with any ETL tool such as Informatica, ODI, SSIS, BODI, Data Stage, etc.

The base salary range is $ – $ annually. Your compensation will include sign‑on payments, restricted stock units (RSUs), and benefits such as health, dental, vision, prescription, basic life & AD&D insurance, supplemental life plans, Employee Assistance Program, mental health support, medical advice line, flexible spending accounts, adoption and surrogacy reimbursement coverage, 401(k) matching, paid time off, and parental leave.

Amazon is an equal‑opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.