Senior Data Engineer
Job Description: Responsibilities: Develop & Optimize Data Pipelines Build, test, and maintain ETL/ELT data pipelines using Azure Databricks & Apache Spark (PySpark). Optimize performance and cost-efficiency of Spark jobs. Ensure data quality through validation, monitoring, and alerting mechanisms. Understand cluster types, configuration, and use-case for serverless Implement Unity Catalog for Data Governance Design and enforce access control policies using Unity Catalog....
- ETL
- Azure
- Databricks
- Spark
- CI/CD
- Python
- SQL
- DevOps
- Kafka
- dbt
- Salesforce
- Agile