BI & Data Warehouse Data Engineer

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 Bangalore, India.

We recognize the importance of work/life balance & believe in optimizing the most productive work environment for all employees to succeed and deliver.

Purpose and Scope:

As a Junior Data Engineer, you will play a crucial role in assisting in the design, build, and maintenance of our data infrastructure focusing on BI and DWH capabilities.

Working with the Senior Data Engineer, your foundational expertise in BI, Databricks, PySpark, SQL, Talend and other related technologies, will be instrumental in driving data-driven decision-making across the organization.

You will play a pivotal role in building maintaining and enhancing our systems across the organization.

This is a fantastic global opportunity to use your proven agile delivery skills across a diverse range of initiatives, utilize your development skills, and contribute to the continuous improvement/delivery of critical IT solutions.

• Collaborate with FoundationX Engineers to design and maintain scalable data systems.
• Assist in building robust infrastructure using technologies like PowerBI, Qlik or alternative, Databricks, PySpark, and SQL.