Aws Data Engineer (Pan India)

Position: AWS Data Engineer

Experience: 2 to 5 years

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