This role is for one of Weekday’s clients Min Experience: 7+ years

Location: Bengaluru, Karnataka, India, Bengaluru

JobType: full-time Requirements 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.
- Solid 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

📌 QA Data Engineer (Bengaluru)
🏢 Weekday AI
📍 Bengaluru