Mumbai
31 days ago
Data and Analytics Tester

As part of the Astellas commitment to delivering value for our patients, our organization is currently undergoing transformation to achieve this critical goal.  This is an opportunity to work on digital transformation and make a real impact within a company dedicated to improving lives. 

 

DigitalX our new information technology function is spearheading this value driven transformation across Astellas.  We are looking for people who excel in embracing change, manage technical challenges and have exceptional communication skills. 

 

We are seeking committed and talented MDM Engineers to join our new FoundationX team, which lies at the heart of DigitalX.  As a member within FoundationX, you will be playing a critical role in ensuring our MDM systems are operational, scalable and continue to contain the right data to drive business value. You will play a pivotal role in building maintaining and enhancing our MDM systems.  

 

This position is based in India and may require on-site work from time to time.

Hybrid work from certain locations may be permitted in accordance with Astellas’ Responsible Flexibility Guidelines.

 

Purpose and Scope:

 

As a Data and Analytics Tester, you will play a critical role in validating the accuracy, functionality, and performance of our BI, Data Warehousing and ETL systems. You’ll work closely with FoundationX Data Engineers, analysts, and developers to ensure that our QLIK, Power BI, and Tableau reports meet high standards. Additionally, your expertise in ETL tools (such as Talend, DataBricks) will be essential for testing data pipelines.

 

Essential Job Responsibilities:

 

Development Ownership:

Support testing for Data Warehouse and MI projects. Collaborate with senior team members. Administer multi-server environments.

Test Strategy and Planning:

Understand project requirements and data pipelines. Create comprehensive test strategies and plans. Participate in data validation and user acceptance testing (UAT).

Data Validation and Quality Assurance:

Execute manual and automated tests on data pipelines, ETL processes, and models. Verify data accuracy, completeness, and consistency. Ensure compliance with industry standards.

Regression Testing:

Validate changes to data pipelines and analytics tools. Monitor performance metrics.

Test Case Design and Execution:

Create detailed test cases based on requirements. Collaborate with development teams to resolve issues. Maintain documentation.

Data Security and Privacy:

Validate access controls and encryption mechanisms. Ensure compliance with privacy regulations.

Collaboration and Communication:

Work with cross-functional teams. Communicate test progress and results.

Continuous Improvement and Technical Support:

Optimize data platform architecture. Provide technical support to internal users. Stay updated on trends in full-stack development and cloud platforms.
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