ETL testing | PAN India Hiring

Alike Thoughts; Bengaluru; Hybrid; INR 900,000 - 1,500,000; Full time

Job summary

Alike Thoughts is seeking an ETL Testing Engineer to validate data workflows across PAN India. You will verify ETL processes, data mappings, and data quality through comprehensive test cases.

The role requires 5–12 years of experience, strong SQL, and data warehouse testing. Proficiency with Python automation, Unix/Linux and Azure Databricks is preferred.

Immediate to 30 days notice preferred; drive quality with stakeholders.

Qualifications

• 5–12 years of experience in ETL testing roles.
• Strong SQL skills and data validation across data warehouses.
• Experience designing test cases and reporting defects.
• Collaborate with developers and stakeholders to ensure data integrity.

Responsibilities

• Validate ETL workflows, data mappings, and transformations.
• Perform source-to-target data validation and reconciliation.
• Create and execute test cases, test plans, and test scripts.
• Analyze data quality issues and identify root causes.
• Work closely with developers, business analysts, and stakeholders.
• Ensure data accuracy, completeness, and integrity across systems.

Skills

ETL Testing

SQL Queries

Data Validation

Test Case Design

Defect Tracking

ETL Expertise

Tools

Python Automation

Unix/Linux

Azure Databricks

Job description

ETL Testing Engineer

Location

PAN India

Experience

5-12Years

Notice Period

Immediate to 30 Days Preferred

Mandatory Skills

• ETL Testing
• SQL (Advanced Queries)
• Data Validation & Data Warehouse Testing
• Test Case Design & Execution
• Defect Tracking and Test Reporting
• Strong understanding of ETL Processes

Preferred Skills

• Python Automation
• Unix/Linux Commands
• Azure Databricks Testing
• Agile/Scrum Methodology

Roles & Responsibilities

• Validate ETL workflows, data mappings, and transformations.
• Perform source-to-target data validation and reconciliation.
• Create and execute test cases, test plans, and test scripts.
• Analyze data quality issues and identify root causes.
• Work closely with developers, business analysts, and stakeholders.
• Ensure data accuracy, completeness, and integrity across systems.

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