Lead I Software Testing Etl Testing Thiruvananthapuram

Role Description We re looking to hire a Quality Engineer (QE) for a data platform, not a data migration project. I want to be very clear on the profile we need, as this is different from a migration focused QE. This role sits alongside data engineers on a live data platform, with a strong focus on preventing data quality issues, embedding quality checks into pipelines, and supporting ongoing platform stability. Role Summary We need a Senior QE who understands how data platforms break, can design automated data quality checks, and works closely with engineers to ensure trustworthy data at scale. This is not a manual testing or UAT sign off role. Must Have Skills (Non Negotiable) Robust SQL Used for investigation, root cause analysis, and validating data quality issues Data pipeline understanding Experience testing data across ingestion, transformation, and consumption layers Automated data quality testing Experience creating automated checks such as: Null, range, and validity checks Volume and freshness checks Schema change detection Anomaly or threshold based s Engineering adjacent mindset Comfortable working day to day with data engineers Understands CI/CD concepts and where data quality checks should run Data quality fundamentals Explicit understanding of accuracy, completeness, timeliness, consistency, validity, and uniqueness and how to turn these into checks Nice To Have Skills Experience with tools or frameworks such as dbt tests, pytest, Excellent Expectations, Soda, or similar Cloud data platform exposure (Azure, AWS, or GCP) Orchestration awareness (ADF, Airflow, etc.) Familiarity with data observability and monitoring concepts Azure DevOps or Jira for managing quality work and incidents What This Role Is NOT Not a data migration QE Not manual or spreadsheet driven testing Not a UI or UAT role Not someone who only reports defects after the fact Candidates who mainly describe one off reconciliation, sign off testing, or Excel heavy approaches are unlikely to be a good fit. Ideal Candidate Profile Someone who proactively builds quality into data pipelines, automates checks where it matters, and works with engineers to stop bad data getting into production not just detect it afterwards. Skills etl testing,sql,automated data quality testing,data pipeline,data quality management, Role Description We re looking to hire a Quality Engineer (QE) for a data platform, not a data migration project. I want to be very clear on the profile we need, as this is different from a migration focused QE. This role sits alongside data engineers on a live data platform, with a strong focus on preventing data quality issues, embedding quality checks into pipelines, and supporting ongoing platform stability. Role Summary We need a Senior QE who understands how data platforms break, can design automated data quality checks, and works closely with engineers to ensure trustworthy data at scale. This is not a manual testing or UAT sign off role. Must Have Skills (Non Negotiable) Robust SQL Used for investigation, root cause analysis, and validating data quality issues Data pipeline understanding Experience testing data across ingestion, transformation, and consumption layers Automated data quality testing Experience creating automated checks such as: Null, range, and validity checks Volume and freshness checks Schema change detection Anomaly or threshold based s Engineering adjacent mindset Comfortable working day to day with data engineers Understands CI/CD concepts and where data quality checks should run Data quality fundamentals Explicit understanding of accuracy, completeness, timeliness, consistency, validity, and uniqueness and how to turn these into checks Nice To Have Skills Experience with tools or frameworks such as dbt tests, pytest, Excellent Expectations, Soda, or similar Cloud data platform exposure (Azure, AWS, or GCP) Orchestration awareness (ADF, Airflow, etc.) Familiarity with data observability and monitoring concepts Azure DevOps or Jira for managing quality work and incidents What This Role Is NOT Not a data migration QE Not manual or spreadsheet driven testing Not a UI or UAT role Not someone who only reports defects after the fact Candidates who mainly describe one off reconciliation, sign off testing, or Excel heavy approaches are unlikely to be a good fit. Ideal Candidate Profile Someone who proactively builds quality into data pipelines, automates checks where it matters, and works with engineers to stop bad data getting into production not just detect it afterwards. Skills etl testing,sql,automated data quality testing,data pipeline,data quality management,