Databricks + Pyspark

Skills- Databricks+ Pyspark

Experience: 4 to 13 years

Location: AIA-Pune

We are looking for a highly skilled Data Engineer with expertise in PySpark and Databricks to design, build, and optimize scalable data pipelines for processing massive datasets.

Key Responsibilities:

• Build & Optimize Pipelines: Develop high-throughput ETL workflows using PySpark on Databricks.
• Data Architecture & Engineering: Work on distributed computing solutions, optimize Spark jobs, and build efficient data models.
• Performance & Cost Optimization: Fine-tune Spark configurations, optimize Databricks clusters, and reduce compute/storage costs.
• Collaboration: Work closely with Data Scientists, Analysts, and DevOps teams to ensure data reliability.
• ETL & Data Warehousing: Implement scalable ETL processes for structured & unstructured data.
• Monitoring & Automation: Implement logging, monitoring, and alerting mechanisms for data pipeline health and fault tolerance.