AWS Glue + PySpark @ Cognizant

Job Description

Skill: AWS Glue + PySpark

Experience: 6 to 13 Years

Location : AIA - Pune

Key Responsibilities:

• Design, develop, and optimize AWS Glue ETL jobs using PySpark.
• Integrate data from multiple sources (S3, RDS, Redshift, DynamoDB, etc.) into a centralized data lake or warehouse.
• Implement data transformations, cleansing, and enrichment logic in PySpark.
• Configure and manage AWS Glue Crawlers for schema inference and Data Catalog updates.
• Optimize job performance by tuning Spark configurations and partitioning strategies.
• Implement error handling, logging, and monitoring for Glue jobs.
• Collaborate with data engineers and analysts to define data requirements and transformation rules.
• Ensure data quality, security, and compliance with organizational and regulatory standards.
• Automate ETL workflows using AWS Glue Workflows, Triggers, and Step Functions.
• Troubleshoot and resolve issues in production ETL pipelines.

Required Skills & Qualifications:

• 3+ years of experience in data engineering or ETL development.
• Strong proficiency in PySpark and distributed data processing.
• Hands-on experience with AWS Glue, AWS S3, AWS Lambda, AWS Athena, and AWS Redshift.
• Solid understanding of Spark performance tuning and partitioning strategies.
• Experience with AWS Glue Data Catalog and schema management.
• Proficiency in SQL for querying and transforming data.
• Familiarity with IAM roles, policies, and AWS security best practices.
• Strong problem-solving skills and ability to work in an agile environment.

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Rs 0 - 50K PM Rs 50K - 1 LPA Rs 1.0 - 1.5 LPA Rs 1.5 - 2.0 LPA Rs 2.0 - 2.5 LPA Rs 2.5 - 3.0 LPA Rs 3.0 - 3.5 LPA Rs 3.5 - 4.0 LPA Rs 4.0 - 4.5 LPA Rs 4.5 - 5.0 LPA Rs 5 - 6 LPA Rs 6 - 7 LPA Rs 7 - 8 LPA Rs 8 - 9 LPA Rs 9 - 10 LPA Rs 10 - 12 LPA Rs 12 - 14 LPA Rs 14 - 16 LPA Rs 16 - 18 LPA Rs 18 - 20 LPA Rs 20 - 22 LPA Rs 22 - 24 LPA Rs 24 - 26 LPA Rs 26 - 28 LPA Rs 28 - 30 LPA Rs 30 - 32 LPA Rs 32 - 34 LPA Rs 34 - 36 LPA Rs 36 - 38 LPA Rs 38 - 40 LPA Rs 40 - 42 LPA Rs 42 - 44 LPA Rs 44 - 46 LPA Rs 46 - 48 LPA Rs 48 - 50 LPA Rs 50 - 75 LPA Rs 75 Lakh - 1C PA Rs 1 Crore+ PA

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Keyskills:   configuration amazon redshift pyspark sql etl pipelines java spark data transformation etl etl development performance tuning workflow data processing query data engineering aws lambda aws glue performance partitioning troubleshooting athena agile aws ssis error handling