Etl Qa Analyst

Tekskills Inc.; Bengaluru; Hybrid; INR 1,500,000 - 2,300,000; Full time

Job summary

Tekskills Inc. is seeking an experienced ETL QA Engineer (AWS) to validate large-scale data pipelines in Banking/Financial Services.

You will perform ETL and data warehouse testing, write SQL queries, and validate data accuracy across trades, cash flows, and holdings in AWS Glue-based pipelines. The role is Pune (Kharadi) / Mumbai (Powai) with a hybrid work model (3 days in office) and interview mode in person.

Qualifications

• 5+ years of ETL/Data Warehouse testing experience.
• Strong SQL and data analysis skills.
• Hands-on experience with AWS Glue.
• Understanding 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 QA and development teams.

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.

Skills

ETL testing

SQL

AWS Glue

Lakehouse

ETL workflows

Trade data

Independent work

Tools

Eagle Product

Starburst

Job description

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: [e-mail]