Responsibilities:

- Work independently with strong stakeholder management and communication skills.
- Develop and execute comprehensive test strategies, test plans, and test cases for large-scale data programs.
- Validate end-to-end data pipelines from ingestion to consumption across raw, curated, and serving layers.
- Ensure data integrity, data quality, reconciliation, and business rule validation across the data ecosystem.
- Validate data transformations, aggregations, and data movement across source and target systems.
- Perform source-to-target data validation, data profiling, and data quality assessments.
- Collaborate with business, data engineering, and platform teams in an Agile delivery environment.

Mandatory Skills

- 5+ years of experience in ETL/Data Warehouse/Data Testing.
- Strong expertise in Advanced SQL (mandatory).
- Hands-on experience in Data Warehouse,



Data Lake, Data Lakehouse testing.
- Experience working on at least one contemporary cloud data platform:
- Snowflake
- Google BigQuery
- AWS Redshift
- Azure Synapse
- Databricks

- Strong understanding of:

- Data validation and reconciliation
- Data transformation testing
- Data quality testing
- Source-to-target testing
- Data profiling and data integrity validation

- Basic Python scripting capability for data testing and automation.

Preferred Skills

- Exposure to GCP ecosystem (BigQuery, GCS, etc.).
- Exposure to dbt (Data Build Tool).
- Experience in cloud-based data migration or modernization programs.

Banking/Financial Services domain experience.

📌 Etl Test Analyst (Hyderabad)
🏢 Pi Square Technologies
📍 Hyderabad