Databricks Engineer
Indexed description
- Databricks and Apache Spark
- SQL and data analysis
- ETL/ELT development and optimization
- Data modeling and performance tuning
- Python or Scala
- Azure cloud-based data platforms
- Production support and operational monitoring
- Design, develop, and deploy scalable ETL/ELT pipelines using Databricks, Spark, and PySpark.
- Build and optimize SQL-based data transformation and analytics solutions.
- Collaborate with product owners, data architects, analysts, and business teams on data models and workflows.
- Develop Delta Lake structures and enterprise data pipelines.
- Implement job orchestration, monitoring, and data quality controls.
- Maintain CI/CD pipelines for Databricks notebooks, jobs, and workflows.
- Support Azure-based cloud data platforms and ensure reliable, high-performing data operations.
Qualifications: BACHELOR OF COMPUTER SCIENCE
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