Data Engineer

By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use.  I further attest that all information I submit in my employment application is true to the best of my knowledge. Job Description About the role: The Data Engineer collaborates with a multidisciplinary Agile team to build high-quality data pipelines that drive analytic solutions. This role focuses on integrating and managing data to generate insights, enabling advanced data-driven decision-making capabilities. How you will contribute: * 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 using 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 * Mentor and coach other data and analytic professionals on data standards and practices Skills and qualifications: * Expert in designing and maintaining scalable data architectures, capable of handling complex data systems. * Proficient in SQL and other data manipulation languages, with a strong ability to optimize and troubleshoot queries. * Skilled in DevOps practices and continuous integration to enhance workflow efficiencies. * Experienced in software development methodologies, contributing to both project and operational goals. * Knowledgeable in data structures and algorithms, enhancing data processing and storage solutions. * Familiar with distributed data technologies like Spark and Hadoop, capable of managing large-scale data operations. * Efficient in system integration, ensuring seamless data flow and connectivity across platforms. * Proficient in programming languages such as Python, Scala, Java, and C++, applying them effectively in data engineering tasks. * Experienced in SQL database management, performance tuning, and complex query handling. * Skilled in cloud platform deployment and tools like Kubernetes, optimizing cloud-based data solutions. * Capable of performing advanced troubleshooting and guiding others through complex problem-solving processes. * Advanced in PL/SQL and MongoDB, providing guidance and advice on complex database programming and optimization.