AWS Data Engineer

Job highlights

• Job Summary . We are looking for a skilled AWS Data Engineer with strong experience in the AWS ecosystem to design,build,and maintain scalable data pipelines and analytics platforms
• • Develop batch and incremental pipelines
• • Batch processing and production support
• Required Skills . - Strong hands-on AWS Data Engineering experience
• Experience: 8+ Years.

Job Title: AWS Data Engineer
Experience: 8+ Years
Type: Contract

Job Summary
We are looking for a skilled AWS Data Engineer with strong experience in the AWS ecosystem to design, build, and maintain scalable data pipelines and analytics platforms.

Key Responsibilities

• Design, develop, and maintain cloud-native data pipelines using AWS Glue and S3
• Build and optimize data pipelines for transformation, cleansing, enrichment, and migration
• Develop batch and incremental pipelines
• Build metadata-driven frameworks and reusable transformation components
• Implement AWS Glue pipelines using Spark-based transformations
• Optimize ETL jobs for performance, scalability, and error handling
• Perform advanced SQL development, tuning, and analytical queries
• Troubleshoot production data pipeline issues and perform root cause analysis
• Monitor data quality, data integrity, and pipeline performance to meet SLAs
• Collaborate with business and technical teams to develop scalable solutions
• Implement automation and process improvements
• Participate in Agile ceremonies and sprint-based delivery

Required Skills

• Strong hands-on AWS Data Engineering experience
• AWS Glue
• Amazon S3
• Advanced SQL
• Python & Spark/PySpark
• ETL/ELT concepts
• Enterprise data warehousing principles
• Data modeling
• Data mapping and data lineage
• Data quality monitoring and optimization
• Batch processing and production support
• Strong analytical and problem-solving skills

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