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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