Role OverviewWe are looking for a seasoned Senior Data Engineer to work with our team and clients to develop enterprise-grade data platforms, services, and pipelines in Databricks.
What You Will Do
Lead and architect migrations of data using Databricks, assess and understand ETL jobs, workflows, data marts, BI tools, and reports, and address technical inquiries concerning customization, integration, enterprise architecture, and general feature/functionality of data products.
Why It Might Be a Fit
You will contribute to the growth of our AI & Data Exploitation Practice and have experience working with database/data warehouse/data mart solutions in cloud (preferably AWS, alternatively Azure, GCP).
Requirements
- Ability to hold a position of public trust with the US government
- 5-7 years industry experience coding commercial software and a passion for solving complex problems
- 5-7 years direct experience in Data Engineering with experience in tools such as Databricks, Apache Spark, Delta Lake, etc.
- Experience working with Data Lakehouse architecture and Delta Lake/Apache Iceberg
- Advanced working SQL knowledge and experience working with relational databases, query authoring and optimization (SQL) as well as working familiarity with a variety of databases
- Experience manipulating, processing, and extracting value from large, disconnected datasets
- Experience manipulating structured and unstructured data
- Experience architecting data systems (transactional and warehouses)
- Experience with data cataloging tools such as Informatica EDC, Unity Catalog, Collibra, Alation, Purview, or DataZone is a plus
- Commitment to data governance
- Experience working in an Agile environment
- Experience supporting project teams of developers and data scientists who build web-based interfaces, dashboards, reports, and analytics/machine learning models
Benefits
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