Data Engineer II, Data Management Team

Amazon • Austin, TX

1d

About The Position

Amazon Web Services (AWS), World-Wide Public Sector Reporting and Analytics team
is seeking a Data Engineer with broad technical skills to help build the
infrastructure and tools required to support our Global Sales & Operations
Organizations.

In this role, the ideal candidate will be responsible for developing and
managing big data systems using advanced data engineering knowledge in the data
warehousing space and redefining best practices with a cloud-based approach to
scalability and automation. Additionally, you will be responsible for scaling
our existing infrastructure, incorporating new data sources, and building robust
data pipelines for production level systems. In partnership with machine
learning engineers, business intelligence engineers and analysts, you will work
backwards from our business questions to build reliable and scalable data
solutions to meet the business needs. Finally, this individual will work closely
with project management teams to ensure proper guidance, use cases, and
documentation is available to our Sales and Operations teams.

Requirements

• 3+ years of data engineering experience
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies experience
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience

Nice To Haves

• 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)

Responsibilities

• Architect and implement scalable, reliable, and secure data pipelines and infrastructure to support analytics, reporting, and business operations.
• Design, develop, implement, test, document, and operate large-scale, high-volume, high-performance data structures for business intelligence analytics.
• Build robust and scalable data integration (ETL) pipelines using SQL, Python and AWS services such as Data Pipelines, Glue
• Implementing data structures using best practices in data modeling to provide on-line reporting and analysis using business intelligence tools and a logical abstraction layer against large, multi-dimensional datasets and multiple sources.
• Evaluating and making decisions around dataset implementations designed and proposed by peer data engineers. Mentor junior data engineers.
• Manage AWS resources including EC2, Redshift, S3, etc. Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency.
• Participating in the full development life cycle, end-to-end, from design, implementation and testing, to documentation, delivery, support, and maintenance to produce comprehensive, usable dataset documentation and metadata.

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed