Engineering Data Controller

Takeda; Singapore; On-site; USD 50,000 - 90,000; Full time

Job summary

An innovative company is seeking a Data Engineering Engineer to join a dynamic Agile team. This entry-level role focuses on building high-quality data pipelines and generating insights from connected data, enhancing data-driven decision-making. You will collaborate with various stakeholders, tackle complex data challenges, and contribute to the development of scalable data solutions. This position offers a unique opportunity to grow your skills in a supportive environment while making a meaningful impact on the organization. If you're passionate about data engineering and eager to learn, this role is perfect for you.

Qualifications

• Entry-level position requiring a Bachelor's degree or equivalent experience.
• Focus on developing and optimizing data pipelines in a Big Data environment.

Responsibilities

• Design and maintain data architecture and pipelines adhering to ETL principles.
• Support Data Scientists in data sourcing and preparation for insights.

Skills

SQL

Data Pipeline Development

Python

Scala

Java

Data Modeling

DevOps Practices

Cloud Solutions

Data Structures and Algorithms

Problem Solving

Education

Bachelor's Degree

Tools

Kubernetes

Job description

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Job Description

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:
* 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
* 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

SGP - Singapore - Woodlands

Worker Type

Employee

Worker Sub-Type

Fixed Term (Fixed Term)

Time Type

Full time