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Amnet Digital

Compare

3.7

based on 40 Reviews

7 Amnet Digital Jobs

ETL Test Lead

Amnet Digital

3.7

based on 40 Reviews

5-6 years

Hyderabad / Secunderabad

1 vacancy

ETL Test Lead

Amnet Digital

posted 5mon ago

Job Role Insights

Flexible timing

Key skills for the job

Python SQL Healthcare Automation Testing Machine Learning Open Source

+ 1 more

Job Description

We are seeking a highly motivated and experienced ETL Test Lead to join our team and play a crucial role in ensuring the quality and reliability of our data platform and pipelines. You will be responsible for leading the development and implementation of an automated testing framework specifically designed for validating the Extract, Transform, Load (ETL) processes.

Your Key Responsibilities

Lead the development and implementation of an automated testing framework for ETL processes.
Analyze and understand ETL requirements and data flows.
Select and configure appropriate ETL testing tools (e.g., open-source frameworks or commercial solutions).
Design and develop automated test scripts to validate data extraction, transformation logic, and data loading.
Integrate automated tests into the CI/CD pipeline for continuous validation.
Drive a comprehensive ETL testing strategy.
Define and implement a testing approach encompassing various aspects like data integrity, completeness, accuracy, and performance.
Develop test plans and test cases covering different scenarios and edge cases.
Collaborate with data engineers and developers to ensure clear test coverage and address identified issues.
Manage and maintain the automated testing framework.
Implement best practices for test automation including modularity, maintainability, and scalability.
Continuously improve the test suite by identifying new testing requirements and adding relevant test cases.
Monitor test execution, analyze results, and troubleshoot any issues.
Provide expertise and guidance to the QA team.
Mentor and train other QA testers on ETL testing methodologies and automated testing tools.
Foster a collaborative environment and encourage knowledge sharing within the team. Communicate effectively.
Clearly document test plans, test cases, and automation scripts.
Present test results and findings to stakeholders in a comprehensive and understandable manner.
Collaborate effectively with data engineers, developers, and other teams to address data quality concerns.

What To Bring

Minimum 5+ years of experience in software testing, preferably with a focus on data quality and ETL processes.
Proven experience in designing and implementing automated testing frameworks.
Strong understanding of ETL concepts (Extract, Transform, Load) and data quality principles.
Experience in major machine learning frameworks such as Pytorch, Scikit-Learn, TensorFlow,SparkML etc.
Hands-on knowledge of data wrangling, data cleaning/preparation, dimensionality reduction techniques is required.
Knowledge of creating data architectures/pipeline.
Fluency in Python programming.
Familiarity with SQL and NoSQL (anyone) databases is desirable.
Experience working with Machine Learning deployment frameworks like Azure ML studio, AWS sage maker etc is an added advantage.
Strong analytical and critical thinking skills.
Have a business mindset, swift to identify risk situations and opportunities, and able to generate creative solutions to business problems.
Effective communication skills (written and verbal) to properly articulate complicated statistical models/ reports to management and other IT development partner.