Takeda is looking to generate insights from connected data to enable advanced data-driven decision-making capabilities by building high-quality data pipelines.
Requirements
- Applies basic SQL commands and utilizes guidelines to perform simple data queries in relational databases
- Develops and optimizes data pipelines in a Big Data environment, ensuring scalability and efficiency
- Utilizes relevant data tools such as Power BI and Databricks
- Hands on experience with AWS. Knowledge in Azure is a plus
- Supports complex data modeling tasks, collaborating with AI/ML Engineers to enhance data product features
- Implements DevOps practices in data pipeline development and maintenance for continuous integration
- Utilizes programming languages like Python, Scala, or Java to develop data processing applications
Responsibilities
- Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals
- Define data requirements, gather and mine large-scale structured and unstructured data, and validate data by running various data tools in the Big Data Environment
- Support Data Scientists in data sourcing and preparation to visualize data and synthesize insights of commercial value
- Lead the evaluation, implementation, and deployment of emerging tools and processes for analytic data engineering to improve productivity
- Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes
- Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives
- Solve complex data problems to deliver insights that help our business achieve their goals
Other
- Bachelor's degree in Computer Science or equivalent
- 1-2 years of experience on data management
- As an entry-level professional, you will tackle challenges within a focused and manageable scope.
- Your role is pivotal in applying core theories and concepts to practical scenarios, reflecting a seamless transition from academic excellence to professional application.
- Typically, this role requires a bachelor or college degree or the equivalent professional experience.
