Role OverviewWe are looking for a Data Engineer to join the Strategic Customer Engagements team to develop a scalable data analytics platform. The role will leverage generative AI and AWS services to raise the bar on how the team consumes and acts on data, and to build the next generation of AI-enabled data platforms.
What You Will Do
You will design and manage large-scale data systems using cloud-native approaches to scalability and automation. You will build robust pipelines, integrate new data sources, and deliver reliable data products that support analytics, machine learning, and AI-powered systems.
Why It Might Be a Fit
The role will require experience with data modeling, warehousing, and building ETL pipelines, as well as experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions.
Requirements
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field
- 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 SQL experience
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience
- Experience with data modeling, warehousing, and building ETL pipelines
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
Benefits
- Comprehensive benefits including health insurance
- 401(k) matching
- Paid time off
- Parental leave
- Flexible Spending Accounts
- Adoption and Surrogacy Reimbursement coverage
- Basic Life & AD&D insurance
- Supplemental life plans
- EAP
- Mental Health Support
- Medical Advice Line
]]>