QA Manager (Data Quality Engineer)

Weekday AI; Bengaluru; On-site; INR 1,200,000 - 3,000,000; Full time

Job summary

Weekday AI is hiring a senior data quality leader in Bengaluru to supervise a team validating ETL pipelines and data integrity across multiple domains. The role emphasizes automation strategies, platform-wide validation of complex business logic in Snowflake, Databricks and related technologies.

The candidate will collaborate with data engineers, analysts and product managers to ensure data completeness, accuracy and governance, while growing the team and driving quality practices in an Agile

Qualifications

• 8+ years hands-on experience in software testing or data engineering, with 2+ years in technical leadership.
• Proficiency in Python and SQL, with experience handling terabyte-scale datasets for data quality validation.
• Strong understanding of data quality automation frameworks, CI/CD pipelines, and data platforms like Airflow, Spark, Databricks or Snowflake.

Responsibilities

• Lead a team of data quality engineers validating ETL pipelines and data domains.
• Define and drive automation strategies to validate complex ETL logic and business rules across platforms.
• Collaborate with data engineers, analysts and product managers to ensure data completeness and integrity.
• Oversee design and improvement of test automation frameworks and validation infrastructure.
• Manage hiring, performance and growth for the team while fostering engineering excellence.

Skills

Python

SQL

Software Testing

Education

Bachelor's degree in computer science or engineering

Tools

Airflow

Spark

Databricks

Snowflake

Job description

Description

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