Job Description
Company overview
Voya India is a wholly owned subsidiary of U.S. financial services company Voya Financial who is a leading health, wealth, and investment company. We deliver innovative solutions to Voya’s Retirement, Employee Benefits, and Investment Management businesses.
A bit about who we are looking for:
We are looking for experienced Quality Engineers with strong expertise in data/ETL testing, particularly on Databricks and PySpark-based platforms. The ideal candidate should have hands-on experience in end-to-end data pipeline testing, advanced SQL-based validation, and automation frameworks, with a strong focus on data quality, reconciliation, and performance optimization. Candidates should be proficient in validating large-scale data migrations, ensuring source-to-target accuracy, and working within modern cloud data ecosystems (ADLS, ADF, Delta Lake). A solid understanding of STLC, Agile practices, and strong analytical and communication skills are essential.
What you’ll do
• Serves as a technical expert with all the concepts of Test Data Management. The candidate should have good hands-on experience with Broadcom's TDM tools.
• Data profiling in tables/files and should be able to identify and de-personalize the PII data.
• Data masking using Broadcom’s Fast Data Masker (FDM) tool.
• Data sub-setting using Broadcom's TDM Portal.
• Generate synthetic data.
• Work in cloud platforms ADF, Databricks.
• Responsible for copying data across different environments for various applications.
• Build python scripts while working with different files for file splitting, merging etc.
What you’ll need
• Good work ethics and the ability to complete tasks and deliverable under defined deadlines while maintaining flexibility
• Agile environment proficiency (not mandatory)
• Working in cross-functional projects
• Excellent analytical, problem-solving and production support skills
• Strong communication and collaboration skills to work effectively with cross-functional teams
Voya India is a wholly owned subsidiary of U.S. financial services company Voya Financial who is a leading health, wealth, and investment company. We deliver innovative solutions to Voya’s Retirement, Employee Benefits, and Investment Management businesses.
A bit about who we are looking for:
We are looking for experienced Quality Engineers with strong expertise in data/ETL testing, particularly on Databricks and PySpark-based platforms. The ideal candidate should have hands-on experience in end-to-end data pipeline testing, advanced SQL-based validation, and automation frameworks, with a strong focus on data quality, reconciliation, and performance optimization. Candidates should be proficient in validating large-scale data migrations, ensuring source-to-target accuracy, and working within modern cloud data ecosystems (ADLS, ADF, Delta Lake). A solid understanding of STLC, Agile practices, and strong analytical and communication skills are essential.
What you’ll do
• Serves as a technical expert with all the concepts of Test Data Management. The candidate should have good hands-on experience with Broadcom's TDM tools.
• Data profiling in tables/files and should be able to identify and de-personalize the PII data.
• Data masking using Broadcom’s Fast Data Masker (FDM) tool.
• Data sub-setting using Broadcom's TDM Portal.
• Generate synthetic data.
• Work in cloud platforms ADF, Databricks.
• Responsible for copying data across different environments for various applications.
• Build python scripts while working with different files for file splitting, merging etc.
What you’ll need
• Good work ethics and the ability to complete tasks and deliverable under defined deadlines while maintaining flexibility
• Agile environment proficiency (not mandatory)
• Working in cross-functional projects
• Excellent analytical, problem-solving and production support skills
• Strong communication and collaboration skills to work effectively with cross-functional teams
Requirements
- Required Skill:
- 5+ years of experience in Data/ETL testing with strong hands-on exposure to Databricks, PySpark, Python, and automation frameworks
- Expertise in Advanced SQL (Spark SQL) for data validation, reconciliation, and performance tuning
- Strong experience in end-to-end ETL/ELT pipeline testing, including Delta Lake and large-scale data processing
- Proven capability in source-to-target validation, data quality checks, and ensuring accuracy, completeness, and consistency of data
- Good understanding of Databricks architecture, cloud ecosystem (ADLS, ADF), along with STLC and Agile practices
Skills Required
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