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 workplace.

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
Solid 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
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