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Etl Qa Analyst

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Hybrid

Etl Qa Analyst

Tekskills Inc.

Etl Qa Analyst

Skills

SQL QueriesTesting & QAData AnalysisAWS

9 days ago

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Important information


Contract type:

Permanent

Location:

Hyderabad, Telangana, India

Work mode:

Hybrid

Published on:

14 October 2026

What they need


Job highlights

  • Shift: General (9:00 AM 6:00 PM). We are looking for an experienced ETL QA Engineer with strong expertise in ETL testing,SQL,AWS Glue,and data validation.The ideal candidate should have hands-on experience validating large-scale data pipelines and possess a solid understanding of data warehousing concepts within the Banking / Financial Services domain.
  • Preferred Skills

ETL QA Engineer (AWS)

Job Title: ETL QA Engineer (AWS)
Experience: 5-10 Years
Location: Pune (Kharadi) / Mumbai (Powai)
Work Mode: Hybrid (3 days/week from client office)
Industry: Banking / Financial Services
Interview Mode: Face-to-Face
Shift: General (9:00 AM 6:00 PM)

Job Description

We are looking for an experienced ETL QA Engineer with strong expertise in ETL testing, SQL, AWS Glue, and data validation. The ideal candidate should have hands-on experience validating large-scale data pipelines and possess a solid understanding of data warehousing concepts within the Banking/Financial Services domain.

Mandatory Skills

  • 5+ years of ETL/Data Warehouse testing experience
  • Strong SQL and data analysis skills
  • Hands-on experience with AWS Glue
  • Good understanding of AWS services and Lakehouse/Data Lake architecture
  • Experience validating data models and ETL workflows
  • Knowledge of Trade Processing, Cash Flows, and Holdings
  • Ability to work independently and collaborate with cross-functional QA and development teams

Preferred Skills

  • Experience with Eagle Product
  • Knowledge of Starburst

Responsibilities

  • Perform ETL and data warehouse testing.
  • Validate data accuracy, completeness, and consistency.
  • Write and execute SQL queries for data validation.
  • Test AWS Glue-based ETL pipelines and Lakehouse environments.
  • Analyze data discrepancies and work with development teams for issue resolution.
  • Ensure data quality across trade processing, holdings, and cash flow datasets.

Job Details

  • Experience: 510 Years
  • Location: Pune (Kharadi) / Mumbai (Powai)
  • Work Model: Hybrid (3 days/week from office)
  • Domain: Banking
  • Interview: Face-to-Face

Contact Details:

Navitha (HR)
Contact Number: 040-67284906
Email: [email protected]

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