Etl Qa Analyst

Tekskills Inc.; Dadri; Híbrido; INR 1.200.000 - 2.400.000; Jornada completa

Descripción de la vacante

Tekskills Inc. is seeking an experienced ETL QA Engineer (AWS) to validate large-scale data pipelines in a hybrid setup across Pune and Mumbai. The role focuses on ETL testing, data quality, and AWS Glue-based workflows in a banking/financial services environment.

The ideal candidate has 5–10 years of ETL/Data Warehouse testing experience, strong SQL skills, and hands-on AWS Glue expertise. Collaboration with cross-functional QA and development teams is required.

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

ETL testing

SQL

AWS Glue

Lakehouse/Data Lake

Data validation

Trade processing/cash flows/holdings

Independent work

Cross-functional collaboration

Herramientas

Eagle Product

Starburst

Descripción del empleo

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]