| Job Description: |
Competencies: 15+ years total hands-on experience
Competencies: 15+ years total hands-on experience
Digital : Python
Digital : Snowflake
ORACLE SQL
Digital : Dataiku
Data Architecture and Modeling
Releasing as Hybrid position, candidate will primarily work remote but WILL have occasional travel to DC area that will be non-negotiable. Please do not submit candidates that are looking for 100% remote.
Lead Developer - Senior Data bricks engineer with ETL and Data engineering exp
We need ETL/ELT Data bricks engineers with Databricks Data engineering professional certification
Role Description:
15 + experience of hands-on experience in data engineering with a focus on Databricks
Independently design, build, and maintain complex, production-grade data pipelines on Databricks.
Develop efficient ETL/ELT processes with a strong focus on data quality, consistency, and scalability.
Build reusable frameworks for ingestion, transformation, and reconciliation across enterprise source systems.
Apply and help improve engineering standards — pipeline architecture, coding standards, and ETL/ELT best practices.
Strong hands-on background in Databricks, Python (PySpark), and SQL for large-scale data processing, incremental data loads, and metadata-driven ingestion and data quality frameworks using PySpark
Working knowledge of CI/CD pipelines, Git-based branching strategies, and DevOps practices.
Work within an Agile delivery / Kanban methodology to deliver product increments in iterative cycles.
Work with product and business partners to define roadmap, communication, architecture, adoption plans, and support models.
Experience working on real-time data and streaming applications
Experience with data modeling for data warehousing
Experience in AWS or Azure cloud.
Prefer associates with Databricks Data engineering certification
Release Comments: We need ETL/ELT Data bricks engineers with Databricks Data engineering professional certification
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