Description

Key Skills: Software Testing, Quality Engineering, Java Script, SQL, Python

Roles and Responsibilities:

• Design and implement test strategies for complex data pipelines and business logic
• Build and evolve automated testing frameworks for batch and streaming data workflows
• Define and enforce quality standards across data validation, test coverage, and CI/CD practices
• Partner with engineering teams to improve data reliability and prevent data issues
• Lead quality initiatives, conduct code and test reviews, and mentor team members as needed

Skills Required:

• 6 to 9 years of relevant experience in data quality engineering, software testing, or data engineering
• Strong hands-on experience in quality engineering and software testing for data-centric systems
• Deep proficiency in SQL and Python for validating large datasets and complex transformations
• Experience with Snowflake, Databricks, Spark, Airflow, or similar data platforms and orchestration tools
• Proven ability to build scalable automated data testing frameworks and support CI/CD-driven delivery

Good to Have:

• Experience with BDD frameworks such as Behave
• Exposure to AWS or other cloud environments
• Familiarity with data quality tools such as Deequ or Great Expectations

Education: Bachelor's degree in Computer Science or equivalent education/work experience

Key Skills

Education

Any Graduate