JD – Senior Engineer Role (QA Data Tester / BI Tester)

Role Overview We are looking for a Data QA Tester with strong fundamentals in ETL, Data Warehousing, and BI testing. The role focuses on executing data validation, ensuring data quality, and supporting automation and cloud-based testing initiatives.

Required Qualifications 3+ years of experience in Data / ETL / BI Testing Strong hands-on experience in

SQL (mandatory) Good understanding of

ETL processes and Data Warehousing concepts Exposure to

BI testing (Power BI / Tableau) Exposure to

cloud platforms (Azure / AWS / GCP)

Core Responsibilities Understand

business requirements, data models, and mappings Create and execute

test cases for ETL and data pipelines Perform

data validation using SQL queries Validate

BI reports and dashboards

against source data Perform

data reconciliation

between source and target systems Test data across

structured and semi-structured formats Identify, log, and track defects; support resolution with dev teams Participate in

SIT cycles and testing activities Support

automation initiatives (Python or tools)

where applicable

Skills & Expertise Strong in: SQL querying and data validation ETL & Data Warehousing concepts (Facts, Dimensions, Schemas) Working knowledge of: Data integration across multiple systems Basic cloud data environments Exposure to: Python (for validation or basic automation support) Modern platforms (Databricks / Snowflake / BigQuery / MS Fabric – awareness level) Good analytical and communication skills

Expectation from Role Independently execute testing tasks with minimal supervision and handle

daily internal calls with good communication skills. stakeholders with good communication skills. Deliver

high-quality data validation Build confidence in

understanding business logic

JD – Lead Engineer Role (QA Data Tester / BI Tester | 6–9 Years)





Role Overview We are looking for a Lead QA Tester who can independently handle complex data testing scenarios, contribute to test strategy, and drive quality across ETL pipelines, data platforms, and BI systems. This role requires strong SQL expertise, deeper system understanding, and proactive problem-solving.

Required Qualifications 6+ years of experience in Data / ETL / BI Testing Strong expertise in

SQL and data validation techniques Strong hands-on experience in

ETL and Data Warehousing Experience in

BI testing (Power BI / Tableau) Hands-on exposure to

cloud platforms (Azure / AWS / GCP) Hands-on exposure to

data automation (Python) Experience in

test planning and test strategy contribution

Core Responsibilities Analyze

complex data models, mappings, and transformations Design and execute

end-to-end data testing scenarios (SIT/UAT) Perform advanced

data validation and reconciliation using SQL Validate

BI reports with complex business logic Handle data validation across: Structured Semi-structured (JSON, XML, Parqet) Unstructured data (basic understanding) Identify data issues, perform

root cause analysis , and suggest fixes Contribute to

test strategy, test planning, and estimation Guide team members on

testing approach and best practices Work closely with

business, dev, and data engineering teams

Skills & Expertise Solid expertise in: ETL Testing & Data Warehousing concepts Complex SQL (joins, aggregations, performance-aware queries) BI report validation Hands-on experience in: Python for data validation / automation (writing reusable scripts) Good exposure to: Data platforms: Databricks, Snowflake, BigQuery, MS Fabric Cloud ecosystems: Azure / AWS / GCP Strong debugging and analytical skills

Expectation from Role Handle

complex testing independently and stakeholders with good communication skills. Act as a

go-to person for data validation challenges Contribute to

improving testing processes and efficiency Support and guide junior team members (without full ownership)

📌 Senior Engineer / Lead - Quality Engineering (Mumbai)
🏢 Tiger Analytics
📍 Mumbai