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ETL QA Engineer Experience: 56 Years Location: Mumbai / Hyderabad / Bengaluru / Pune (Hybrid/Onsite) Employment Type: Full-Time Notice Period: Immediate to 15 Days Preferred Job Summary We are looking for an experienced ETL QA Engineer with 56 years of expertise in Manual ETL Testing , SQL-based data validation , and Azure Cloud Data Platforms . The ideal candidate should have hands-on experience in validating ETL pipelines, data transformations, and data warehouse solutions while ensuring high-quality data delivery across enterprise applications. The candidate should possess strong analytical skills, excellent SQL expertise, and experience working in Agile environments. Key Responsibilities - Design, develop, and execute comprehensive ETL test plans, test cases, test scenarios, and test scripts . - Perform Manual ETL Testing by validating data extraction, transformation, and loading processes. - Validate source-to-target data mapping , transformation logic, and business rules. - Perform data reconciliation to ensure data accuracy, completeness, and consistency. - Execute Functional, Integration, System, Regression, and End-to-End Testing for ETL and data warehouse applications. - Write and execute complex SQL queries for backend data validation, including joins, aggregations, subqueries, and window functions. - Validate data across Azure SQL Database , Azure Data Lake , Azure Synapse Analytics , and Azure Data Factory (ADF) pipelines. - Review business requirements, mapping documents, user stories, and acceptance criteria to ensure complete test coverage. - Analyze data models and ETL workflows to identify testing scenarios and edge cases. - Identify, log, prioritize, and track defects using Jira or Azure DevOps, working closely with development teams for resolution. - Participate in Sprint Planning, Daily Stand-ups, Backlog Grooming, Sprint Reviews, and Retrospectives. - Perform risk analysis and prioritize testing activities based on project impact and business criticality. - Support release planning activities and provide Go/No-Go recommendations based on testing outcomes. - Collaborate with Data Engineers, BI Developers, Product Owners, Business Analysts, and Solution Architects to validate business requirements and data quality. - Identify gaps in requirements, data mappings, or testing processes and recommend improvements. - Prepare test execution reports, defect metrics, and quality dashboards. - Ensure compliance with organizational QA standards, testing methodologies, and best practices. Mandatory Skills - 56 years of experience in ETL Testing . - Strong experience in Manual ETL Testing . - Expert-level SQL programming (Joins, CTEs, Window Functions, Aggregations, Stored Procedures). - Hands-on experience with Azure Data Factory (ADF) , including pipelines, triggers, and data flows. - Experience validating data using Azure SQL Database , Azure Data Lake , and Azure Synapse Analytics . - Strong understanding of ETL Processes and Data Validation . - Solid knowledge of Data Warehousing Concepts : - Facts & Dimensions - Star Schema - Snowflake Schema - Slowly Changing Dimensions (SCD Type 1 & Type 2) - Experience in Source-to-Target Mapping Validation. - Experience in Data Reconciliation and Data Quality Validation. - Experience with Jira or Azure DevOps. - Knowledge of Agile/Scrum methodologies. - Strong analytical, troubleshooting, and problem-solving skills. Preferred Skills - Azure DevOps - Power BI - Python (Basic) - Snowflake - Databricks - API Testing - Git - CI/CD Pipelines - Automation Testing exposure - Performance Testing knowledge .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.