Data Engineer

Key Responsibilities:

• Design, develop, and maintain scalable data pipelines and ETL/ELT processes using Databricks and PySpark.
• Work with structured and semi-structured data across cloud platforms (AWS, Azure, or GCP).
• Write optimized, complex SQL queries for data extraction, transformation, and aggregation.
• Implement data ingestion from multiple sources into data lakes or warehouses.
• Collaborate with data analysts, business stakeholders, and engineering teams to gather requirements and deliver solutions.
• Monitor, troubleshoot, and improve the performance of existing data pipelines.
• Ensure data quality, security, and governance across the data lifecycle