Senior Data Engineer

Coforge; Hyderabad, Pune District, Greater Noida; Hybrid; INR 1,000,000 - 1,700,000; Full time

Job summary

Coforge in Hyderabad is seeking an AWS Data Engineer to design and implement scalable, cloud-native data solutions for business insights. You will work with Python, PySpark and SQL to build end-to-end data pipelines on AWS services such as Glue, Lambda, Athena, S3 and EventBridge, with MWAA for workflow orchestration. Terraform for IaC and optional visualization tools like QuickSight or Power BI will be a plus; strong problem-solving and architectural skills are required.

Qualifications

• Hands-on experience with cloud-native data solutions on AWS.
• Experience designing end-to-end data pipelines.
• Ability to troubleshoot, optimize in AWS.

Responsibilities

• Design, develop, and maintain scalable data pipelines.
• Ingest, transform, orchestrate, store and deliver data products.
• Troubleshoot and optimize data engineering solutions in AWS.
• Independently implement data solutions in AWS environments.

Skills

Python

PySpark

SQL

Tools

AWS Glue

AWS Lambda

AWS Athena

AWS S3

EventBridge

Amazon MWAA

Terraform

Job description

AWS Data Engineer

Mandatory Skills:

• Python, PySpark, SQL
• AWS Data Services: Glue, Lambda, Athena, S3, EventBridge
• Amazon MWAA (Managed Workflows for Apache Airflow)
• Infrastructure as Code (IaC) with Terraform

Good to Have:

• Amazon QuickSight, Power BI, or other data visualization/reporting tools

Key Expectations:

• Strong hands-on experience and sound theoretical understanding of the above technologies, including architecture, internal workings, and best practices
• Experience designing, developing, and maintaining scalable, cloud-native data solutions
• Proven experience building end-to-end data pipelines from source systems through ingestion, transformation, orchestration, storage, and delivery of business-ready data products
• Ability to independently troubleshoot, optimize, and implement data engineering solutions in AWS environments