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 settings and resolve data-related incidents.
Continuously improve performance, scalability, and reliability of data platforms.

Educational Requirements

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

📌 Aws Data Engineer Pan India Hyderabad
🏢 Infosys
📍 Hyderabad