Python Data Tester

Advance Career Solutions; Chennai, Bengaluru, Mumbai; Híbrido; INR 900.000 - 1.400.000; Jornada completa

Descripción de la vacante

Advance Career Solutions is seeking a Python Data Tester in Chennai, with expertise in data validation, data quality testing, and test automation. You will validate data pipelines using Python and SQL, identify discrepancies, and ensure data accuracy across ETL/ELT processes.

Responsibilities include designing automated tests, writing complex queries, maintaining test scripts, and collaborating with data engineers and QA teams to ensure reliable data delivery.

Formación

• Hands-on experience with Python and SQL for data validation.
• Experience validating data across source and target systems.
• Knowledge of ETL/ELT testing and data quality checks.
• Familiarity with data warehousing concepts.
• Experience with test automation and defect management.

Responsabilidades

• Design automated data testing scripts using Python.
• Validate data pipelines and reconcile datasets.
• Write SQL queries to verify data integrity.
• Test ETL/ELT processes and data migrations.
• Identify and report data defects to engineering teams.
• Maintain test cases and execution reports.
• Collaborate with data engineers and QA teams to ensure reliability.

Conocimientos

Python

SQL

Data testing

ETL testing

Data validation

Test automation

Defect management

Analytical thinking

Herramientas

PyTest

AWS

Databricks

Spark

CI/CD

Descripción del empleo

Python Data Tester

Experience: 59 Years
Location: Pune, Mumbai, Chennai & Bengaluru

Job Summary

We are looking for an experienced Python Data Tester with strong expertise in data validation, data quality testing, and test automation. The candidate should have hands‑on experience using Python and SQL to validate data pipelines, identify data discrepancies, and ensure data accuracy and integrity.

Key Responsibilities

• Design and develop automated data testing scripts using Python.
• Perform data validation, reconciliation, and quality checks across source and target systems.
• Write complex SQL queries to validate datasets and identify discrepancies.
• Test ETL/ELT pipelines, data transformations, and data migration processes.
• Identify, troubleshoot, and report data defects, working closely with development teams.
• Develop and maintain test cases, test scripts, and test execution reports.
• Collaborate with data engineers, developers, and QA teams to ensure data accuracy and reliability.

Required Skills

• Strong hands‑on experience in Python and SQL.
• Experience in data testing, ETL testing, and data validation.
• Knowledge of data warehousing concepts and data integration processes.
• Experience in test automation and defect management.
• Strong analytical, debugging, and problem‑solving skills.

Preferred Skills

• Experience with PyTest or other Python testing frameworks.
• Exposure to cloud data platforms such as AWS, Azure, or GCP.
• Knowledge of big data technologies such as Spark or Databricks.
• Familiarity with CI/CD tools and Agile methodologies.