Data Engineering Leader for Transportation
13 hours ago
This esteemed position at myGwork, an inclusive employer and a member of the largest global LGBTQ+ business community platform, offers a unique opportunity to lead the team responsible for advancing Transportation and Retail models. The successful candidate will have a strong analytical mindset, excellent metrics-driven decision-making skills, and the ability to develop solutions that cater to the growing worldwide demand.
About the RoleAs a Data Engineer II at Amazon, you will be part of the world-class Business Intelligence for Transportation team. Your primary responsibility will be designing, building, and maintaining complex data solutions for Amazon's Operations businesses.
- Responsible for designing, building and maintaining complex data solutions for Amazon's Operations businesses
- Actively participates in the code review process, design discussions, team planning, operational excellence, and constructively identifies problems and proposes solutions
- Makes appropriate trade-offs, re-use where possible, and is judicious about introducing dependencies
- Makes efficient use of resources (e.g., system hardware, data storage, query optimization, AWS infrastructure etc.)
- Knows about recent advances in distributed systems (e.g., MapReduce, MPP Architectures, External Partitioning)
We are seeking an exceptional Data Engineer with:
- 3+ years of data engineering experience
- Experience with data modeling, warehousing, and building ETL pipelines
- Experience with SQL
Preferably, the ideal candidate will have:
- 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)
The hiring group emphasizes collaboration, continuous learning, and innovation. As a Data Engineer II, you will work closely with cross-functional teams to drive business growth and improve operational efficiency.
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