Cloud Data engineer

1 day ago

bangalore district, 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 using AWS Glue , PySpark , and Lambda . Develop and optimize PySpark scripts for large-scale data processing and transformation. Implement data ingestion from multiple sources (S3, RDS, APIs, Streaming sources). Work with AWS services such as S3, 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 with AWS Glue , Glue Studio , and Glue Catalog . Expertise in PySpark and distributed data processing. Proficiency in Python , data structures, and Spark optimization techniques. Strong understanding of S3, IAM, Athena, Redshift, DynamoDB, Kinesis , etc. Experience with ETL/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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