Quality Engineering Analyst/Lead
First seen by Alion on Aug 10, 2026.
Must have skills : ETL, SQL, Python, Spark
Desirable skills : Big Data Tech Stacks
Infosys role : Quality Engineering Analyst, Quality Engineering Lead
Desired experience range : 4-8 years
Location(s) where this position can work out of : Bangalore, Chennai, Pune, Chandigarh, Hyderabad
Does this position require working from client office all or some days in the week? : No
Is remote working allowed : Yes (Hybrid model)
Responsibilities :
- Hands-on experience in ETL Testing, Data Warehouse Testing, and Data Migration Testing.
- Strong expertise in SparkSQL and database validation across Oracle, SQL Server, PostgreSQL, Snowflake, AWS Redshift, or BigQuery.
- Validate source-to-target mappings, transformation rules, data lineage, and business logic as per mapping documents.
- Experience in Python-based ETL test automation.
- Perform data reconciliation, completeness checks, referential integrity, duplicate detection, and data quality validations.
- Experience in ETL tools such as Informatica, Ab Initio, ODI, SSIS, DataStage, Azure Data Factory, or Databricks.
- Strong understanding of Data Warehousing concepts including Facts, Dimensions, Star Schema, and SCD validations.
- Experience designing and implementing Spark-based Data Validation frameworks to validate large-scale financial data across batch and ETL pipelines, ensuring data quality, completeness, accuracy, and consistency throughout the project lifecycle.
- Experience developing automated data quality controls and validation test suites using Apache Spark, including reconciliation, schema validation, data profiling, and exception handling for high-volume financial datasets.
- Experience validating cloud-based data platforms on AWS, Azure, Databricks, Snowflake, or GCP.
- Hands-on experience with batch job validation, workflow monitoring, and scheduling tools such as Autosys, Control-M, or Airflow.
- Develop automation solutions using Python/Shell scripting for ETL and data validation activities.
- Implement test strategies, prepare and execute test cases, analyze results, and coordinate defect resolution to ensure data quality.
- Collaborate with business, development, and data engineering teams to ensure accurate and reliable data delivery.
- Maintain detailed documentation of test scenarios, SQL validations, automation assets, and testing processes.
Nice to Have Skills :
- Experience in BI Reporting validation using Power BI, Tableau, Qlik, or MicroStrategy.
- Experience in Big Data technologies such as Hadoop, Spark, Hive, and Kafka.
- Knowledge of AI-enabled Data Quality and Data Governance solutions.
- Banking, Capital Markets, Wealth Management, or Mortgage domain experience.
Your Contribution to the Team :
- Strong analytical and problem-solving skills.
- Ability to understand complex business transformations and convert them into comprehensive test scenarios.
- Passion for ensuring data accuracy, integrity, and compliance.
- Proactive approach to identifying data defects and root cause analysis.
- Ability to collaborate effectively with Data Engineers, Architects, Business Analysts, and Product Owners.
Required/Basic Qualifications :
- Bachelor's degree or foreign equivalent required from an accredited institution.
- At least 4 years of experience in Data/ETL Testing.
- Strong experience in SQL, Data Validation, Data Reconciliation, Python.
- Experience working in Agile delivery environments.
Skills
ETL/Datawarehouse Testing, Software Quality Assurance, Testing, Python, Automation Testing, Test Case Writing, Test Strategy, Big Data Testing