The Future Begins HereAt Takeda, we are creating a future-ready organization, one that evolves at the speed of science and technology using data and digital to meet the needs of patients, our people, and the planet. In order to make that happen, we need your help.
Join our exciting and new Innovation Capability Center (ICC) in Bratislava, Slovakia. This specialized, innovative and state of the art center of technological resources will drive data and digital capabilities and solutions across Takeda. The Center will be home to approximately 300 change agents, organized into chapters and cross-functional squads based on agile ways of working.
Grow your data and digital skills, create and enhance solutions for patients around the globe, and help us create a data and digital-forward Takeda. This is a unique opportunity to become the heart of our internal innovation engine.The OpportunityAs a Junior Data Engineer you'll support Takeda Vision and Plasma-Derived Therapies (PDT) Data strategy through collaboration with different IT functions including Enterprise Architecture, Cloud Center of Excellence, and Enterprise Data Backbone Engineering to develop data model, data ingestion pipelines, and data quality process that empower business users with real-time decision-making capability. You will create, maintain, and support the data platform and infrastructure that enables the analytics front-end (e.g. reporting, dashboards). The incumbent is also responsible for the testing, maintenance, construction and development of architectures such as high-volume large-scale data processing and databases along with the verification and validation process. You will ingest and transform data into Takeda Data Warehouse and Data Lake supporting digital products (portal, donor management, and donation management, etc.) integrations. You will work closely with data governance, platform engineers, data scientists and key stakeholders to design solutions that enable PDT data strategy. You will be responsible for implementing AWS technologies, their configuration and utilization, and the optimization of the full data pipeline infrastructure to support the actual content, volume, and periodicity of data to support the intended kinds of queries and analysis to match expected responsiveness. Last but not least, you will ensure that data pipelines are scalable, repeatable, and secure, and can serve multiple users within the organization.Responsibilities• Developing and maintaining scalable data pipelines and building out new integrations using AWS native technologies to support continuing increases in data source, volume, and complexity
• Collaborating with analytics and business teams to improve data models that feed business intelligence tools and dashboards, increasing data accessibility and fostering data-driven decision making across the organization
• Implementing processes and systems to drive data reconciliation, monitor data quality, ensuring production data is always accurate and available for key stakeholders, downstream systems, and business processes that depend on it
• Writing unit/integration/performance test scripts, contributing to engineering wiki, and documents work
• Performing data analysis required to troubleshoot data related issues and assist in the resolution of data issues
• Working closely with a team of frontend and backend engineers, product managers, and analysts
• Working closely with enterprise teams including Enterprise Architecture, Security, and Enterprise Data Backbone Engineering to design and developing data integration patterns/solutions along with proper data models supporting different data and analytics use cases
• Working with DevOps and Cloud Center of Excellence to deploy data pipeline solutions in Takeda AWS environments meeting security and performance requirementsSkills and Qualifications• Bachelors’ Degree, from an accredited institution in Engineering, Computer Science, or related field
• 1+ years of experience in software, data, data warehouse, data lake, and analytics reporting development
• Experienced in data/Big Data, data integration, data model, modern database (Graph, No-SQL, etc.) query languages and AWS cloud technologies including DMS, Lamda, Databricks, SQS, Step Functions
• Solid oral and written communication skills with a keen sense of customer service
• Ability to perform diagnosis and root cause analysis as well as identify opportunities for improvement
• Ability to build processes that support data transformation, workload management, data structures, dependency and metadata
• Experience designing, building, maintaining data interactions using SOAP/REST web services/API, as well as schema design and dimensional data modeling
