DATA ENGINEERING ANALYST

Job Description About the role.
The Data Engineering Engineer will work closely with a multidisciplinary Agile team to build high-quality data pipelines that drive analytic solutions.
This role aims to generate insights from connected data, 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 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 Skills and qualifications.
* Bachelor's degree in Computer Science or equivalent * 1-2 years of experience on data management * 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 * Manages cloud-based data solutions, leveraging platforms like Kubernetes for deployment * Demonstrates understanding of data structures and algorithms to optimize data storage and retrieval * Integrates multiple systems and ensures consistent and reliable data flow across various platforms * Engages in problem-solving to address data-related issues and improve existing systems * Follows established procedures for data quality control and validation to ensure accuracy and reliability of data sources * Explores new technologies and tools in the field of data engineering to keep up with industry trends * Provides mentorship and guidance to less experienced colleagues in the field of data engineering 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.
You will harness standard methodologies to evaluate situations and data, cultivating a budding understanding of industry practices.
Typically, this role requires a bachelor or college degree or the equivalent professional experience.
Your role is characterized by growth and learning, while your journey within Takeda will evolve, fostering valuable internal relationships.