Date Engineer(Python, Pyspark and AWS)
17 hours ago
Key Skills Required-
- Minimum 6 years of working experience in Python, Pyspark, AWS and SQL.
 - Programming & Frameworks: Python, PySpark
 - Databases & Querying: Strong SQL (query optimization, joins, window functions)
 - Big Data & Processing: PySpark for distributed data processing, ETL pipelines
 - Cloud Platform: AWS (S3, Glue, Lambda, EMR, Redshift, Athena)
 - Data Engineering: Data pipeline design, data ingestion, transformation, and integration
 - Other Nice-to-Have: Airflow (or other orchestration tools), CI/CD, Docker
 
Responsibilities
- Design and develop scalable ETL pipelines using PySpark and SQL
 - Manage data ingestion & transformation on AWS cloud (S3, Glue, EMR, Redshift)
 - Optimize SQL queries for performance in large-scale datasets
 - Collaborate with data scientists and analysts for data availability & quality
 - Implement best practices in data engineering (partitioning, schema design, data governance)
 - Monitor, debug, and optimize pipeline performance
 
Skills: sql,python,pyspark,data engineer,aws
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