Cloud Data engineer

4 weeks ago

New Delhi, India Nityo Infotech Full time

Job Summary: We are looking for an experienced Senior Data Engineer with strong expertise in AWS Glue, PySpark, and cloud-based data engineering. The ideal candidate will design, develop, and optimize scalable data pipelines and ETL workflows on AWS, ensuring high performance, reliability, and data quality. Key Responsibilities Design, build, and maintain scalable ETL pipelines usingAWS Glue ,PySpark , andLambda . Develop and optimizePySparkscripts for large-scale data processing and transformation. Implement data ingestion from multiple sources (S3, RDS, APIs, Streaming sources). Work with AWS services such asS3, Glue, Athena, EMR, Redshift, IAM, CloudWatch . Ensure data quality, validation, and governance across all pipelines. Optimize performance of Glue jobs, Spark clusters, and query execution. Collaborate with data architects, analysts, and cross-functional teams to understand requirements. Participate in code reviews, best-practice enforcement, and CI/CD pipeline implementation. Troubleshoot production issues, monitor pipeline performance, and deliver timely fixes. Manage data workflows, job orchestration, and scheduling using AWS Glue Workflows / Step Functions / Airflow. Required Skills Strong hands-on experience withAWS Glue ,Glue Studio , andGlue Catalog . Expertise inPySparkand distributed data processing. Proficiency inPython , data structures, and Spark optimization techniques. Strong understanding ofS3, IAM, Athena, Redshift, DynamoDB, Kinesis , etc. Experience withETL/ELT pipeline design , debugging, and performance tuning. Good understanding of data warehousing concepts and SQL. Experience working in Agile environments and version control (Git).

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