Posted:1 day ago|
Platform:
Hybrid
Full Time
Key Responsibilities :
- Perform ETL testing, ensuring data completeness, correctness, and data quality across multiple sources.
- Validate Data Warehouse (DWH) transformations, business rules, and data mapping.
- Execute data testing including source-to-target (S2T) validation, reconciliation, and data profiling.
- Develop and maintain automation frameworks for ETL/DB testing using Python/SQL/Selenium/other tools.
- Conduct stress testing and performance testing for ETL pipelines, batch jobs, and BI reports.
- Validate cloud-based data solutions (AWS / Azure / GCP) including data flows, storage, and pipeline jobs.
- Work with Snowflake / BigQuery / Redshift / Azure Data Lake or similar data platforms.
- Collaborate with data engineers to debug issues and optimize data pipelines.
- Create detailed test plans, test cases, test scripts, and maintain documentation.
- Participate in Agile ceremonies and ensure quality delivery across sprints.
- ETL testing
- DWH testing
- Data validation & reconciliation
- SQL (advanced level)
- Automation testing for ETL/DB
- Python / PyTest
- Selenium (if UI verifications needed)
- Informatica / Talend / DataStage (any ETL tool)
- Jenkins / Git (CI/CD)
- JMeter / LoadRunner / Locust
- Batch job performance validations
- Query optimization & execution tuning
- AWS (Glue, Redshift, S3, Athena)
- Azure (ADF, Databricks, Synapse)
- GCP (BigQuery, DataFlow)
- Cloud pipeline validation & performance checks
- Strong analytical & problem-solving abilities
- Excellent communication and documentation skills
- Ability to work with cross-functional teams
- Quick learner with strong debugging skills
SuperSeva
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