Title: - Data Warehouse Testing - (WALK-IN, BLR)

Relevant Experience: 5-8 / 8-10 / 10+

Detailed JD: Must have skills - 2 skills which are non-negotiable

Location: KRNK | BANGALORE (Hybrid)

Vendor Rate: 7000.00 – 8000.00 /Day

ETL, SQL, Python, Spark

Desirable skills - 1 skill which is nice to have

Big Data Tech Stacks

Desired experience range

5-8 years

Responsibilities and JD in brief along with additional criteria to be considered (if any):

- 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.
- Robust 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.

JD

- Proven experience working as a QA Tester in ETL environments.
- Strong proficiency in SQL, ETL testing.
- Strong proficiency in Python automation testing.
- Familiarity with Agile methodologies and experience working in Agile teams.
- Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams.

Comment

Vendor Rates (Java-Selenium Automation): 5-8 years - 8,000/Day 8-10 + years - 10,000/Day

(Shift: Client Specific)

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