
Data Engineer
7 days ago
Key Skills Required-
- Minimum experience required 3 years in Data Engineer (Python,Pyspark, AWS, 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: pandas,aws,python,"data engineer",pyspark,sql
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