Position : Technical Engineer (Only For Men)
Location : Indore
Experience- 6 + Years
Key Responsibilities-
* Design, develop, and maintain automated QA frameworks for Data & Analytics platforms.
* Implement automation strategies for data ingestion pipelines, transformations, ETL/ELT workflows, and data warehouse validation.
* Build scalable and reusable frameworks for end-to-end data validation.
* Develop and maintain DBT tests for schema validation, data quality checks, referential integrity, and business rule validation.
* Validate transformed datasets for accuracy, completeness, and consistency.
* Perform ETL/ELT testing across multiple enterprise data sources.
* Validate source-to-target mappings, reconciliation processes, and transformation logic.
* Automate regression, smoke, reconciliation, and deployment validation testing.
* Integrate testing frameworks with Apache Airflow and CI/CD pipelines.
* Collaborate closely with Data Engineers, BI Engineers, and Analytics teams.
* Implement automated controls for anomaly detection, duplicate checks, and governance requirements.
Mandatory Skills-
* Strong experience in Data & Analytics QA Automation.
* Hands-on experience with DBT test automation and data validation frameworks.
* Strong understanding of Data Engineering concepts and ETL/ELT processes.
* Advanced SQL skills for data validation and analysis.
* Experience with Apache Airflow or similar orchestration tools.
* Experience with cloud-based data platforms (AWS preferred).
* Experience testing enterprise-scale data pipelines and analytics platforms.
* Strong knowledge of Data Warehousing and Dimensional Modeling concepts.
* Excellent troubleshooting and analytical problem-solving skills.
Preferred Skills-
* Databricks, Snowflake, Redshift, or similar modern data platforms.
* CI/CD and DevOps practices for Data Platforms.
* Automated Data Reconciliation and Monitoring tools.
* Experience supporting BI and Analytics reporting environments.
Pay: ₹800,000.00 - ₹1,200,000.00 per year
Benefits:
Work Location: On the road
