Position: AWS Data Engineer

Experience: 2 to 5 years

Location: Hyderabad

Employment Type: Full time

Responsibilities

- Design, develop, and maintain scalable data pipelines on AWS.
- Build and manage ETL/ELT processes using AWS Glue, EMR, Lambda, or Apache Spark.
- Develop and optimize data ingestion workflows from multiple data sources.
- Create and manage data lakes using Amazon S3.
- Design and maintain data warehouses using Amazon Redshift.
- Perform data modeling for analytics and reporting requirements.
- Ensure data quality, consistency, and integrity across datasets.
- Optimize SQL queries and database performance.
- Implement orchestration and workflow automation using Airflow or AWS Step Functions.
- Monitor data pipelines and troubleshoot data processing issues.
- Implement security, governance, and compliance controls for data platforms.




- Work with large-scale structured and unstructured datasets.
- Collaborate with Data Scientists, Analysts, and Business Teams to deliver data solutions.
- Configure and manage AWS services such as S3, Glue, Lambda, EMR, Redshift, Athena, IAM, and CloudWatch.
- Implement CI/CD practices for data engineering workflows.
- Develop real-time and batch data processing solutions.
- Create data validation, reconciliation, and auditing processes.
- Document data architecture, workflows, and technical specifications.
- Support production environments and resolve data-related incidents.
- Continuously improve performance, scalability, and reliability of data platforms.

Educational Requirements MCA, MSc, MTech, B.Tech, BCA, BSc

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