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

About the role

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. You will 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.

Responsibilities

• Design, implement and support an analytical data infrastructure
• Manage 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

Requirements

• Bachelor's degree
• Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist)
• 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 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

Qualifications

• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
• Knowledge of non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
• Experience with data modeling, warehousing and building ETL pipelines

Skills

• Recognize and adopt best practices in reporting and analysis
• Write high quality code to retrieve and analyze data
• Analyze and solve business problems at their root
• Understand data resources and know how, when, and which to use (and which not to use)
• Develop pragmatic analyses and choose applicable solutions that add value to your business area
• Understand business objectives relevant to your area and align your work to those objectives
• Empower data-driven decision making through implementing principles of data mining, data modeling, and analytical skills

Benefits

• Professional development opportunities
• Flexible work hours and arrangements
• Work-life balance
• Mentorship and career growth

Pay

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs).

Schedule

Full-time