About Voya:

Voya India (earlier VFISLK) started out as a joint venture between U.S. financial services company Voya Financial and SLK, a software services company and is head quartered at Bangalore. As of Aug 2023, we are a wholly owned subsidiary of Voya Financial. We are a dynamic technology & business process transformation company that provides world-class technology & business process management services, with an emphasis on quality, speed & optimization driven through automation.

We support and deliver innovative solutions to Voya’s Retirement, Employee Benefits, and Investment Management businesses.

More information about us is available at: https://www.voyaindia.com

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A highly skilled Quality Engineer specializing in data and ETL testing within modern cloud-based data platforms, with strong expertise in Databricks, PySpark, Python, and advanced SQL (Spark SQL). The role focuses on ensuring the accuracy, integrity, and reliability of large-scale data pipelines through comprehensive validation, automation, and performance optimization.

This position is responsible for end-to-end testing of ETL/ELT pipelines, including source-to-target validation, data reconciliation, and data quality assurance across complex data ecosystems.

Roles And Responsibilities:

5+ years of experience in Data/ETL testing using Databricks, PySpark, and Python with strong automation exposure

Strong expertise in Advanced SQL (Spark SQL) for data validation,



reconciliation, and performance tuning

Hands-on experience in end-to-end testing of ETL/ELT pipelines implemented using PySpark and Delta Lake

Experience in building/using data validation frameworks (PySpark, Python, /automation frameworks)

Ensure source data quality by validating accuracy, completeness, null values, duplicates, and consistency before ingestion into Databricks pipelines to prevent downstream data issues

Solid knowledge of STLC, test planning, estimation, and data testing strategies

Strong capability in source-to-target validation, data quality checks, and large-scale data analysis

Working knowledge of Databricks architecture (clusters, notebooks, jobs) and cloud ecosystem (ADLS, ADF, Snowflake basics)

Experience in data migration testing (DB2/Oracle to Databricks) and reconciliation strategies

Good understanding of PySpark transformations, joins, aggregations, and performance optimization techniques

Exposure to MDM testing and modernized data platforms is an added advantage

Robust communication skills with ability to analyze business requirements and work in Agile environments

Primary Skill:

Data/ETL testing

Secondary Skill:

ADF, Advance SQL, Python

Qualifications:

Bachelor’s degree in computer science, Engineering, or a related field; Master's Degree preferred

Location:

Bangalore

Mode of Work:

Hybrid

📌 Engineer - Testing (India)
🏢 Voya Financial
📍 India