[Apply in 3 Minutes] Cloud Data engineer

3 weeks ago

Bengaluru, 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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