PUNE · FULLTIME
Data Warehouse Testing Professional
Apex 2000
Pune · onsite · Posted 13d ago
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Undisclosed4–7 yrsfulltimePune
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Section · 01
About this role
Requirement ID: 8367 Job Title: Data Warehouse Testing Job Type: - Duration: 6 months Location: Pune
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.
- 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.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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Section · 02
Skills
data qualityAutomationApache SparkData lineageApacheautosysAb Initiodata profilingdata platformsamazon web servicesredshiftapache airflowbigqueryData EngineeringData MigrationcloudAzure Data FactoryMicrosoft AzureAutomation Solutions