The Last Mile Data Engineering Team (LMDET) is a specialized data engineering organization focused on delivering seamless, secure, and governed access to Last Mile datasets at scale. The team designs and owns large-scale data lake and data warehouse infrastructures, including the Last Mile Data Repository (LMDR) and Campus data platforms, housing 10,000+ datasets across domains such as maps, geocoding, routing, and transportation. Leveraging AWS and industry-leading big data technologies, the team builds complex ETL pipelines, near-real-time data ingestion systems, and reusable datasets that power analytics, business reviews, and machine learning model development.
LMDET also drives innovation through Generative AI-powered solutions for natural language querying, auto-insight generation, geocoding orchestration, and unified workflow automation, partnering closely with business, science, product, and technology teams to enable intelligent, data-driven decision-making across the Last Mile organization.
- 3+ years of data engineering experience
- 4+ years of SQL experience
- Experience with data modeling, warehousing and building ETL pipelines
- 2+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience
- Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- 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)
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