Engineer - Testing

Primary Skills (Mandatory) Data/ETL testing Secondary Skills (Preferred) ADF, Advance SQL, Python JOB DESCRIPTION Company Overview About Voya India 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 Voyas Retirement, Employee Benefits, and Investment Management businesses. More information about us is available at: https://www.voyaindia.com Role Summary 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. Key Roles & Responsibilities 5+ years of experience in Data/ETL testing using Databricks, PySpark, and Python with strong automation exposureStrong expertise in Advanced SQL (Spark SQL) for data validation, reconciliation, and performance tuningHands-on experience in end-to-end testing of ETL/ELT pipelines implemented using PySpark and Delta LakeExperience 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 issuesSolid knowledge of STLC, test planning, estimation, and data testing strategiesStrong capability in source-to-target validation, data quality checks, and large-scale data analysisWorking 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 strategiesGood understanding of PySpark transformations, joins, aggregations, and performance optimization techniquesExposure to MDM testing and modernized data platforms is an added advantageStrong communication skills with ability to analyze business requirements and work in Agile environments 6. EDUCATION & CERTIFICATIONS Education Bachelor's degree in Computer Science, Engineering, or a related field; Master's Degree preferred Certifications (if any) LOCATION & WORK ARRANGEMENT Work Location Bangalore/Pune/Delhi/Hyderabad If Other, specify city/location Work Model Hybrid .