Qa Lead

Alp Consulting

8 - 12 years

14 - 17 Lacs

bengaluru

Posted:22 hours ago| Platform:

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Skills Required

pytest azure databricks etl testing python qa automation

Work Mode

Hybrid

Job Type

Full Time

Job Description

QA Engineer

Key Responsibilities:

Design, build, and maintain
CI/CD pipelines
for the data platform.
Work extensively with
Azure Databricks, Data Lakehouse (DLH), and Delta Live Tables (DLT)
.
Implement
pytest unit testing frameworks
for pipeline validation and transformations.
Conduct
ETL testing and data quality validation (DQC)
across Bronze, Silver, and Gold layers.
Validate data stored in
Azure SQL, ADB SQL, and S3 file systems
.
Collaborate with DevOps, Platform, and Data Engineering teams for seamless integration and deployment.
Troubleshoot and resolve platform-related issues in Python-based workflows.
Ensure platform governance, data quality, and compliance standards are met.

Required Skills

Strong hands-on expertise in
Python
Automation Testing Framework for Data validation and BDD approach.
Solid experience in
pytest unit testing
for ETL/data pipelines.
Practical knowledge of
CI/CD tools
(Azure DevOps, GitHub Actions, or Jenkins).
Proven experience in
Azure Databricks, DLH, and DLT
.
Strong understanding of
ETL testing methodologies
.
Proficiency in
Azure SQL, ADB SQL, and S3 file validation
.
Expertise in
data quality checks and governance validation
.
Strong analytical, debugging, and problem-solving skills.

Role

Job

Job Type

Work Mode:

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