Amazon Data Services, Inc.
Technology
DataEngineer,AWSDCCentralOperations
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Engineer, AWS DC Central Operations at Amazon Data Services, Inc.. Skills: Data engineering, ETL, Data warehousing, AWS. Develop and maintain automated ETL pipelines. Implement and support reporting and analytics infrastructure”
Industry & Context.
Complex analytical problems; Complex analytical challenges
What They're Looking For.
Must Have
3+ years of data engineering experience, Experience with data modeling, Experience with warehousing, Experience building ETL pipelines, Knowledge of professional software engineering best practices, Knowledge of full software development life cycle, Bachelor's degree in Computer Science, Bachelor's degree in Engineering, Bachelor's degree in Mathematics, Bachelor's degree in a related field
Nice to Have
Experience with AWS technologies, Experience with non-relational databases, Experience with object storage, Experience with document stores, Experience with key-value stores, Experience with graph databases, Experience with column-family databases
What You'll Do.
Develop and maintain automated ETL pipelines
Implement and support reporting and analytics infrastructure
Develop and maintain data security and permissions solutions
Develop data objects for business analytics
Develop and optimize data warehouse and data lake
Develop and maintain data warehouse and data lake
Develop and maintain data catalog
Develop and maintain user documentation
Work with internal business customers to gather requirements
Work with software development teams to gather requirements
Document requirements for data publishing
Document requirements for data consumption
Explore innovative data transformation techniques
automated reporting solutions
Collaborate with cross-functional teams
Research emerging technologies
How You'll Work.
Team & Collaboration
Cross-functional teams; Business intelligence engineer; Software engineers
Full Job Description
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. As a Data Engineer on our team, you'll work with technologies and complex data environments. You'll be responsible for enhancing our existing data architecture to further standardize metrics and definitions, developing end-to-end data engineering solutions for complex analytical problems, and collaborating with business intelligence engineer, and software engineers to translate data into actionable insights. Our Data Engineers build the ETL and analytics solutions for our internal customers to answer questions with data and drive critical improvements for the business. Our Data Engineers use best practices in software engineering, data management, data storage, data compute, and distributed systems. We are passionate about solving business problems with data! Key job responsibilities - 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 analy
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