Data Engineering Analyst

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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.

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