AWS ETL Database Testing

WOW Softech; Pune District, Gurugram District, Bengaluru; Hybrid; INR 1,200,000 - 2,400,000; Full time

Job summary

EXL Services is seeking a Data Quality & Test Engineer to validate data pipelines, ETL/ELT workflows, and APIs. The role requires strong SQL, Python, data quality skills, and hands-on AWS experience across Glue, Lambda, Step Functions, S3, and CloudWatch.

You will work with Developers, Data Engineers, DevOps, and QA in an Agile setup to ensure data quality and reliable releases.

Qualifications

• 56 years of experience in Data Testing / ETL Testing / Data Quality / QA Automation

Responsibilities

• Test and validate data pipelines, ETL/ELT workflows, and AWS data services

Skills

Data Testing

ETL Testing

Data Quality

SQL

Python

AWS

REST API Testing

CI/CD

Unit/Integration/UAT Testing

Data Warehousing

Tools

AWS Glue

AWS Lambda

AWS Step Functions

Amazon S3

AWS CloudWatch

IAM / RBAC

Jenkins

GitLab

GitHub Actions

Azure DevOps

Job description

Data Quality & Test Engineer

Company: EXL Services
Experience: 5-8 Years
Location: bangalore , pune , gurugram , noida
Employment Type: Full-Time

About EXL Services

EXL Services is a global data analytics and operations management company that helps organizations use data, analytics, and technology to improve business performance, customer experience, and operational efficiency.

Job Summary

We are looking for a Data Quality & Test Engineer with strong experience in Data/ETL Testing, Data Quality, SQL, Python, and AWS. The candidate will be responsible for validating data pipelines, ETL workflows, APIs, and cloud-based data platforms.

Mandatory Skills

• 56 years of experience in Data Testing / ETL Testing / Data Quality / QA Automation
• Strong SQL and complex data validation queries
• Hands-on experience with AWS Glue
• Experience with AWS Lambda
• Experience with AWS Step Functions
• Strong knowledge of Amazon S3
• Experience with AWS CloudWatch
• Understanding of AWS IAM / RBAC
• Strong experience in Data Validation, Reconciliation, and ETL/ELT Testing
• Python for test automation/scripting
• Experience in Test Automation
• API Testing / REST API Testing
• Experience with CI/CD tools such as Jenkins, GitLab, GitHub Actions, or Azure DevOps
• Experience in Unit, Integration, Regression, and UAT Testing
• Strong understanding of Data Warehousing / Data Lakes

Key Responsibilities

• Test and validate data pipelines, ETL/ELT workflows, and AWS data services.
• Perform source-to-target validation, data reconciliation, and data quality checks.
• Develop and maintain automated testing scripts/frameworks using Python.
• Test AWS Glue, Lambda, Step Functions, APIs, and data workflows.
• Perform CI/CD deployment and release validation.
• Validate CloudWatch monitoring, logging, alerts, and production readiness.
• Support security testing involving IAM, RBAC, and data access controls.
• Prepare test cases, execution reports, and defect reports.
• Work closely with Developers, Data Engineers, DevOps, and QA teams in an Agile environment.

Good to Have

• PyTest / Great Expectations
• Data Lakehouse experience
• Terraform / CloudFormation
• Machine Learning workflow testing
• AWS Certification