Data Quality Engineer

Altimetrik; Bengaluru; Hybrid; INR 900,000 - 1,500,000; Full time

Job summary

Altimetrik Bengaluru is seeking a Data Warehouse ETL Tester to validate pipelines, migrations, and data transformations. The role focuses on data validation, reconciliation, completeness, and integrity checks using SQL and Python.

You will develop automation scripts, integrate test automation into CI/CD (Jenkins/Azure DevOps), and validate cloud data pipelines on AWS/Azure, with Unix/Linux troubleshooting as needed in an Agile environment.

Qualifications

• 58 years of experience in ETL/Data Warehouse Testing.
• Strong hands-on experience with SQL and Python.
• Experience in ETL validation, data reconciliation, and data quality testing.
• Exposure to AWS or Azure data platforms.
• Experience with CI/CD tools (Jenkins, Azure DevOps) and Git.
• Good understanding of ETL processes and data warehousing concepts.
• Knowledge of Unix/Linux for troubleshooting.
• Experience in Retail domain is a strong plus.
• Experience with Hadoop, Spark, Databricks, Jira, or TestRail is an added advantage.

Responsibilities

• Validate ETL pipelines, data migrations, and data transformations.
• Perform data validation, reconciliation, completeness, and integrity checks.
• Write complex SQL queries for large-scale data validation.
• Develop Python automation scripts/frameworks for ETL testing.
• Automate regression and data quality validation.
• Integrate test automation into CI/CD pipelines (Jenkins/Azure DevOps).
• Validate cloud-based data pipelines on AWS/Azure.
• Debug ETL failures using Unix/Linux logs.
• Collaborate with developers, data engineers, and product teams in an Agile environment.
• Perform root cause analysis and ensure high data quality.

Skills

SQL

Python

Data validation

Data quality testing

CI/CD

Unix/Linux

Tools

Jenkins

Azure DevOps

Git

Jira

TestRail

Hadoop

Spark

Databricks

Job description

Role & Responsibilities

• Validate ETL pipelines, data migrations, and data transformations.
• Perform data validation, reconciliation, completeness, and integrity checks.
• Write complex SQL queries for large-scale data validation.
• Develop Python automation scripts/frameworks for ETL testing.
• Automate regression and data quality validation.
• Integrate test automation into CI/CD pipelines (Jenkins/Azure DevOps).
• Validate cloud-based data pipelines on AWS/Azure.
• Debug ETL failures using Unix/Linux logs.
• Collaborate with developers, data engineers, and product teams in an Agile environment.
• Perform root cause analysis and ensure high data quality.

Preferred Candidate Profile

• 58 years of experience in ETL/Data Warehouse Testing.
• Strong hands-on experience with SQL and Python.
• Experience in ETL validation, data reconciliation, and data quality testing.
• Exposure to AWS or Azure data platforms.
• Experience with CI/CD tools (Jenkins, Azure DevOps) and Git.
• Good understanding of ETL processes and data warehousing concepts.
• Knowledge of Unix/Linux for troubleshooting.
• Experience in the Retail domain is a strong plus.
• Experience with Hadoop, Spark, Databricks, Jira, or TestRail is an added advantage.
• Strong analytical, communication, and problem-solving skills.