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QA Data Engineer - P4
Bengaluru · Staff/Principal
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Job description
QA Data Engineer - P4
Weekday AI · Bengaluru, India · Full-time · Posted 2026-09-25
Workplace: on_site
Department: Weekday's Client via platform
Description
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.
- 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
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