**Role & seniority: ** P4 Data Quality / Data Test Automation Lead (7–9 yrs); may manage direct reports and mentor engineers

**Stack/tools: ** SQL, Python, Snowflake, Databricks, Spark, Airflow; CI/CD; data testing frameworks; (optional) AWS; BDD/Behave; Great Expectations; Deequ

**Top 3 responsibilities: **

Design and implement data test strategies for complex pipelines/business logic
Architect and evolve automated testing frameworks for batch/streaming; enforce testing/monitoring best practices and CI/CD integration
Drive end-to-end data quality initiatives: plan, execute, debug/prevent data quality issues; mentor/review code/tests
Must-have skills:
- Strong SQL + Python; validation/testing on large datasets
- Hands-on experience with Snowflake, Databricks, Spark and/or Airflow
- Proven ability to build and scale automated data testing frameworks
- Data Quality Engineering / Data Testing / Data Engineering leadership
- Debugging/problem-solving; CI/CD knowledge; mentoring and technical leadership
Nice-to-haves:
- AWS/cloud experience; BDD/Behave
- Great Expectations, Deequ, custom data quality frameworks
- Batch and streaming data testing exposure
Location & work type: Bengaluru; Hybrid
Additional details: Notice period 0–45 days; Salary ₹8–20 LPA; Bootstrapped enterprise B2B (People Impact client engagement)

Full Description

Company: People Impact

Website: Visit Website

LinkedIn: Visit LinkedIn

Business Type: Enterprise

Company Type: Product & Service

Business Model: B2B

Funding Stage: Bootstrapped

Industry: Information Technology

Salary Range: ₹ 8-20 Lacs PA

Job Description

P4 – Data Quality / Data Test Automation Lead

Job Summary

We are hiring for one of our esteemed clients for a P4-level Data Quality / Data Test Automation leadership role.

The ideal candidate should have strong expertise in SQL, Python, Snowflake, Databricks, Spark and Airflow, along with proven experience designing and scaling automated data testing frameworks and leading data quality initiatives.

Location: Bengaluru

Level: P4

Experience: 7-9 Yrs

Mode: Hybrid

Notice period- 0-45 Days

Key Responsibilities

Lead the design and implementation of test strategies for complex data pipelines and business logic. 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. Drive strategic data quality initiatives from planning through execution. Collaborate with cross-functional teams to develop scalable and testable data solutions. Identify, debug and proactively prevent data quality issues. Mentor engineers and conduct code/test reviews. Support team development through coaching and technical guidance. Manage direct reports where required, including planning and performance support. Evaluate and introduce tools and frameworks to improve test coverage and automation.

Required Skills

Strong proficiency in SQL and Python. Experience validating and testing large datasets. Hands-on experience with Snowflake, Databricks, Spark and/or Airflow. Strong experience in Data Quality Engineering, Data Testing or Data Engineering. Proven ability to build and scale automated data testing frameworks. Experience leading technical/data quality initiatives. Experience mentoring engineers and/or managing engineering team members. Strong problem-solving and debugging skills. Understanding of CI/CD and data workflow best practices.

Good to Have

AWS or other cloud environments BDD / Behave Great Expectations Deequ Custom data quality frameworks Batch and streaming data testing

Education

B. S. in Computer Science or equivalent degree/work experience.

Skills Needed

SQL, Python, Snowflake, Databricks, Data Quality, Data Testing, Test Automation Framework, Spark, Airflow, CI/CD, Data Engineering

Automation Test Lead

Full Description