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Job Description

Amazon Web Services, Inc. offers an onsite Data Engineer role in Pittsburgh that combines a competitive salary with a strong benefits package and opportunities to influence AWS Enterprise Support Strategy and Ops. The position pays between USD 132,100 and 178,800 per year and places you in a collaborative environment that values data-driven decision making and cross-team collaboration with data scientists and business intelligence engineers.

Benefits

  • Health insurance
  • 401(k) matching
  • Paid time off
  • Parental leave
  • Sign-on payments
  • Restricted stock units (RSUs)

Responsibilities

  • Design and maintain an analytical data infrastructure
  • Manage AWS resources including EC2, EMR, S3, Glue, Redshift, and related services
  • Collaborate with other technology teams to extract, transform, and load data from diverse sources using SQL and AWS big data technologies
  • Stay current with the latest AWS capabilities to deliver new features and improve efficiency
  • Work with Data Scientists and Business Intelligence Engineers to promote best practices in reporting and analysis
  • Continuously enhance reporting and analysis processes to simplify self-service access for customers

Requirements

  • Bachelor's degree
  • Experience as a data engineer or related specialty with a track record of manipulating, processing, and extracting value from large datasets
  • 3+ years of developing and operating large-scale data structures for business intelligence analytics using SQL
  • Experience providing technical leadership and mentoring other engineers on data engineering best practices
  • Experience building and operating highly available, distributed systems for data extraction, ingestion, and processing of large data sets
  • Experience with data modeling, warehousing, and building ETL pipelines

Technologies

  • SQL
  • Redshift
  • Quicksights
  • EC2
  • EMR
  • S3
  • Glue
  • Kinesis
  • FireHose
  • Lambda
  • IAM

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