The AWS Data Engineer will develop and maintain data pipelines, implement ETL jobs, and support data analytics platforms on AWS while ensuring best practices for security and performance.
Job Title: AWS Data Engineer
Experience: 4–6 Years
Location: India (Remote)
Employment Type: Full-Time
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
- 4+ 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
- AWS Certification
- Exposure to data governance and metadata tools
- Experience with performance tuning and cost optimization on AWS
Top Skills
Amazon Cloudwatch
Amazon Dynamodb
Amazon Ec2
Amazon Emr
Amazon Redshift
Apache Airflow
Aws Datazone
Aws Glue
Aws Lambda
Python
SQL
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