Data Engineer, AWS Support S&O - ESSO - Strategy, Planning & Inspection (SPI)

About the team

Enterprise Support Strategy and Ops is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. Would you like join one of the fastest-growing organizations within Amazon Web Services (AWS) and help customers of all industries and sizes gain the best value and service from AWS? Enterprise Support is hiring!

Responsibilities

• Design, implement and support an analytical data infrastructure
• Managing AWS resources including EC2, EMR, S3, Glue, Redshift, etc.
• Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies
• Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency
• Collaborate with Data Scientists and Business Intelligence Engineers (BIEs) to recognize and help adopt best practices in reporting and analysis
• Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers

Basic qualifications

• Bachelor's degree
• Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) 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
• Experience providing technical leadership and mentoring other engineers for best practices on data engineering
• Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
• Experience with data modeling, warehousing and building ETL pipelines

Preferred qualifications

• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
• Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
• Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence

Pay

• USA, PA, Pittsburgh - 132,100.00 - 178,800.00 USD annually
• USA, TX, Dallas - 132,100.00 - 178,800.00 USD annually
• USA, WA, Seattle - 132,100.00 - 178,800.00 USD annually