QA Manager (Data Quality Engineer)

Posted 5 Days Ago
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Bengaluru, Bengaluru Urban, Karnataka, IND
In-Office
1M-3M Annually
Expert/Leader
Artificial Intelligence • HR Tech • Professional Services • Software
The Role
Lead data quality engineers in validating ETL pipelines, business rules, and data transformations across Snowflake and Databricks. Drive test automation strategies, frameworks, and validation infrastructure; collaborate with data engineers, analysts, and product managers to ensure data accuracy and integrity. Manage hiring, performance, mentoring, and career development while promoting engineering excellence, Agile quality practices, and cross-functional delivery.
Summary Generated by Built In

This role is for one of the Weekday's clients

Salary range: Rs 1200000 - Rs 3000000 (ie INR 12 - 30 LPA)

Min Experience: 10+ years

Location: Bengaluru, Karnataka, India
JobType: full-time


Requirements

Responsibilities include: 

  • Lead a team of data quality engineers supporting validation efforts across multiple data pipelines and domains. 
  • Define and drive automation strategies to validate complex ETL logic and business rules in platforms like Snowflake and Databricks. 
  • Collaborate with data engineers, analysts, and product managers to ensure the completeness, accuracy, and integrity of data across systems. 
  • Oversee the design and improvement of test automation frameworks and validation infrastructure. 
  • Manage hiring, performance, and career growth for team members while fostering a culture of engineering excellence. 

Experience:

  • 8+ years of hands-on experience in software testing or data engineering, with at least2 years in technical leadership or management roles.
  • Proven experience validating complex ETL pipelines, business logic, and data transformations across large-scale systems.
  • Proficiency in Python and SQL, including working with terabyte-scale datasets to identify data anomalies and logic issues.
  • Strong understanding of data quality automation frameworks, CI/CD pipelines, and tools like Airflow, Spark, Databricks, or Snowflake.
  • Experience driving quality best practices within Agile teams and participating in cross-functional planning and delivery.
  • Demonstrated ability to manage, mentor, and grow engineering talent, fostering a culture of accountability and collaboration.
  • Bachelor’s degree in computer science, Engineering, or equivalent practical experience.
Must-have skills

python, sql, Software Testing

Good-to-have skills

snowflake, databricks, etl pipeline

Skills Required

  • 8+ years of hands-on experience in software testing or data engineering
  • At least 2 years of experience in technical leadership or management roles
  • Experience validating complex ETL pipelines, business logic, and data transformations across large-scale systems
  • Proficiency in Python and SQL, including working with terabyte-scale datasets
  • Understanding of data quality automation frameworks, CI/CD pipelines, and tools such as Airflow, Spark, Databricks, or Snowflake
  • Experience driving quality best practices within Agile teams and participating in cross-functional planning and delivery
  • Ability to manage, mentor, and grow engineering talent
  • Bachelor's degree in computer science, Engineering, or equivalent practical experience
  • Snowflake experience
  • Databricks experience
  • ETL pipeline experience
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The Company
Year Founded: 2021

What We Do

Weekday is an AI-powered recruitment platform that helps startups hire top-tier engineering and product talent. By leveraging a massive database of white-collar professionals and advanced outreach tools, the company streamlines the hiring process through automated sourcing, AI-driven resume screening, and white-glove contingency services. Their mission is to modernize recruitment by enabling companies to discover and engage passive candidates efficiently, ensuring high-quality hires for critical roles.

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