Overview
Remote
Hybrid
$50-60
Accepts corp to corp applications
Contract - W2
Contract - 20 day((s))
Skills
SQL
PySpark
Delta Lake
Databricks
ETL / Data Warehouse design & development
(AWS or Azure)
Performance tuning & cost optimization
POC-to-Production migration experience
Job Details
Job Summary (List Format): Senior Databricks Developer
- Design, build, and scale Databricks data pipelines from proof of concept to production-grade solutions.
- Develop and optimize ETL processes and Data Warehouse architectures for retail data platforms.
- Apply best practices in performance tuning, governance, and cost optimization within Databricks environments.
- Collaborate with cross-functional business and technical teams to deliver robust data solutions.
- Utilize AWS or Azure cloud services for scalable and reliable data platform deployments.
- Ensure compliance and effective data management using tools like Unity Catalog.
- Leverage experience in PySpark, SQL, and Delta Lake to deliver production-ready data pipelines.
- Optionally apply retail data knowledge (e.g., POS, inventory, analytics) and familiarity with MLflow, Delta Live Tables (DLT), and Databricks SQL Warehouses.
- Design, build, and scale Databricks data pipelines from proof of concept to production-grade solutions.
- Develop and optimize ETL processes and Data Warehouse architectures for retail data platforms.
- Apply best practices in performance tuning, governance, and cost optimization within Databricks environments.
- Collaborate with cross-functional business and technical teams to deliver robust data solutions.
- Utilize AWS or Azure cloud services for scalable and reliable data platform deployments.
- Ensure compliance and effective data management using tools like Unity Catalog.
- Leverage experience in PySpark, SQL, and Delta Lake to deliver production-ready data pipelines.
- Optionally apply retail data knowledge (e.g., POS, inventory, analytics) and familiarity with MLflow, Delta Live Tables (DLT), and Databricks SQL Warehouses.
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