Etl Tester

Cloudxtreme; Kolkata District, Gurugram District, Mumbai; Hybrid; INR 900,000 - 1,300,000; Full time

Job summary

Cloudxtreme seeks an Senior QA lead for data platforms to own quality across ETL pipelines and lakehouse solutions. You will drive automation, mentor junior teams, and shape testing standards for Databricks-based workloads.

The role emphasizes end-to-end data quality initiatives, strong PySpark and SQL skills, and hands-on guidance to ensure governance across cloud data ecosystems.

Qualifications

• Leading QA initiatives for large data pipelines and BI workloads.
• Automation of data validation and reconciliation at scale.
• Expertise with Databricks, Delta Lake, and cloud lakehouse architectures.

Responsibilities

• Define and drive QA strategy for data pipelines.
• Mentor teams and evangelize automation best practices.
• Oversee end-to-end data quality initiatives.

Skills

QA leadership

Automation

Mentoring

Data quality assurance

Tools

Databricks

Databricks Notebooks

Delta Lake

DLT

Databricks SQL

Python

PySpark

SQL

Job description

Key Requirements:

• o 69 years in QA with strong ETL, Data Warehouse, and Big Data testing experience
• o Hands-on Databricks skills: Notebooks, Workflows, Delta Lake, DLT, Databricks SQL
• o Strong Python/PySpark skills for automated data validation and reconciliation
• o Deep SQL expertise in source-to-target validation and data quality assurance
• o Experience testing large-scale pipelines, batch/incremental loads, and complex business rules
• o Solid grasp of cloud data ecosystems (Azure preferred, AWS/GCP) and Lakehouse architectures
• o Proven ability to lead QA strategy, mentor teams, and drive automation best practices

Ideal Candidate:

• o Senior QA professional with strong Databricks, PySpark, ETL testing, and automation expertise
• o Capable of independently leading end-to-end data quality initiatives