
Databricks Engineer
7 days ago
Description :
Key Skills & Experience :
years of hands-on experience with Databricks, including job optimization and performance tuning.
years in Data Engineering, with a solid foundation in data pipeline design, development, and implementation.
- Expertise in PySpark for large-scale data processing and transformations.
- Proven experience in ETL design for scalable and efficient data workflows.
- Strong understanding of Data Quality, Data Governance, and Data Control principles to ensure data accuracy, consistency, and reliability.
- Proficiency with Delta Tables for data storage, versioning, and ACID transactions in Databricks.
Responsibilities :
- Design and implement efficient ETL pipelines to process large datasets.
- Optimize Spark jobs in Databricks for better performance and cost efficiency.
- Implement best practices for data quality and data governance to ensure reliable and accurate datasets.
- Work with Delta Tables for transactional integrity and managing data lakes.
- Collaborate with cross-functional teams to ensure alignment on data management and reporting requirements
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