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
Robust 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, Outstanding Expectations, or similar custom frameworks

Must-have skills Python, Airflow, data testing

Valuable-to-have skills

Databricks, SQL, Snowflake

📌 Qa Data Engineer Bengaluru
🏢 Weekday AI (YC W21)
📍 Bengaluru