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)

Positive 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 valuable 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