QA Data Engineer - P4

This role is for one of Weekday’s clients

Min Experience: 7+ years
Location: Bengaluru, Karnataka, India, Bengaluru
JobType: full-time

Responsibilities include: 

• Lead the design and implementation of test strategies for complex data pipelines and business logic.
• Collaborate with cross-functional teams to ensure scalable, testable data solutions.
• Architect and evolve automated testing frameworks across batch and streaming data.
• Define and enforce best practices for testing, monitoring, and CI/CD in data workflows.
• Own and drive strategic data quality initiatives, including stakeholder alignment and execution.
• Mentor engineers, conduct code/test reviews, and support team development.
• Manage direct reports as needed, including coaching, planning, and performance support.
• Introduce and evaluate tools and frameworks to enhance test coverage and automation

Required Education, Experience/Skills/Training:

• Experience in data quality engineering, software testing, or data engineering.
• Strong proficiency in SQL and Python with the ability to validate large datasets.
• Experience with Snowflake, Databricks, Spark, Airflow, or similar tools.
• Proven ability to build and scale automated data testing frameworks.
• Experience leading strategic initiatives and/or managing engineering team members.
• Strong problem-solving and debugging skills; able to anticipate and prevent data issues.
• B.S. in Computer Science (or equivalent degree or work experience)

Nice to have:

• Experience with BDD frameworks (e.g., Behave)
• Experience working in AWS or other cloud environments
• Familiarity with open-source data quality tools like Deequ, Great Expectations, or similar custom frameworks

Must-have skills

Python, Airflow, data testing

Good-to-have skills

Databricks, SQL, Snowflake