Data Engineering Analyst

Santa Fe, Tamps.
Permanente
Tiempo parcial

Hace 1 mes

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 and . I further attest that all information I submit in my employment application is true to the best of my knowledge.Job DescriptionAbout 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.Locations MEX - Santa FeWorker Type EmployeeWorker Sub-Type RegularTime Type Part time

Takeda

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