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Data Engineer, AWS DC Central OperationsAmazon • Seattle, Washington, United States
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Data Engineer, AWS DC Central Operations

Amazon
  • US
    Seattle, Washington, United States
  • US
    Seattle, Washington, United States
Jetzt Bewerben

Über

Overview AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. We support all AWS data centers and all the servers, storage, networking, power, and cooling equipment that ensure 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.
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 engineers and software engineers to translate data into actionable insights. Our Data Engineers build ETL and analytics solutions for internal customers to answer questions with data and drive critical improvements for the business.
Key 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 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.
A day in the life
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.
Basic qualifications
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, KornShell).
Preferred qualifications
Experience with big data technologies such as Hadoop, Hive, Spark, EMR.
Experience with any ETL tool like Informatica, ODI, SSIS, BODI, Datastage, etc.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.
The base salary range for this position is listed below. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance, 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle – 101,300.00 – 160,000.00 USD annually.
Company – Amazon Data Services, Inc.
Job ID: A10444501
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  • Seattle, Washington, United States

Sprachkenntnisse

  • English
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