Data Engineer
Job Description & How to Apply Below
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
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