AWS Data Engineer
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Job Summary
Job Title: AWS Data Engineer
Experience: 58 Years
Location: India (Remote)
Employment Type: Full-Time
Position Overview
We are looking for a skilled AWS Data Engineer to build and support cloud-based data pipelines and analytics platforms on AWS. The role focuses on hands-on development optimization and operational support of data processing systems.
Key Responsibilities
- Develop and maintain scalable batch data pipelines on AWS
- Implement ETL/ELT jobs using AWS Glue and Spark on EMR
- Build and manage workflow orchestration using Apache Airflow (MWAA)
- Develop serverless data processing functions using AWS Lambda
- Work with Amazon Redshift for data warehousing and analytics
- Implement data storage and retrieval using Amazon DynamoDB
- Use AWS DataZone for data discovery governance and access control
- Monitor data pipelines and system health using Amazon CloudWatch
- Troubleshoot data processing failures and performance issues
- Collaborate with analytics reporting and business teams
- Follow best practices for security scalability and cost optimization
Required Skills & Experience
- 58 years of experience in data engineering or related roles
- Hands-on experience with:
- AWS Glue
- Amazon EMR
- AWS Lambda
- Apache Airflow (MWAA)
- Amazon EC2
- Amazon CloudWatch
- Amazon Redshift
- Amazon DynamoDB
- AWS DataZone
- Strong SQL and Python skills
- Experience with batch data processing and data pipeline development
- Understanding of data warehousing and ETL concepts
- Experience working in Agile delivery environments
Nice to Have
- AWS Certification
- Exposure to data governance and metadata tools
- Experience with performance tuning and cost optimization on AWS
Required Experience:
Manager
Key Skills
About Company
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