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Evonik

Data Engineer (Advanced Process Innovation)

Posted 2 Hours Ago
Be an Early Applicant
In-Office
Singapore
Senior level
In-Office
Singapore
Senior level
The role involves designing and maintaining data pipelines, optimizing data architecture, collaborating with data scientists, ensuring data quality, and integrating AI/ML models in production workflows.
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What we offer

Explore a world of opportunities with us. Look ahead with us and help shape innovative solutions to make our world more sustainable and life healthier, more vibrant and more comfortable. At Evonik, you have the chance to explore, thrive, and grow alongside 33,000 colleagues. Among attractive career paths and high-quality development programs, we not only offer performance-based remuneration and occupational health benefits but also hybrid and flexible working environments with #SmartWork. Bring your fresh perspective, develop your strengths, break out your mold, and find a career that fits your dreams with us.

Click on the link below to learn what our employees have to say about Evonik:
https://careers.evonik.com/en/about/meet-the-team/

RESPONSIBILITIES

  • Design, develop, and maintain robust data pipelines to support data ingestion, transformation, and storage to support Advanced Process Innovation program.

  • Design and optimize data architecture (and potentially storage solutions) for efficient access and processing of large datasets from multiple data sources.

  • Collaborate with data scientists to understand model requirements and ensure the availability of clean, structured data for analysis.

  • Collaborate with IT department to design data governance and documentation protocol suited for Advanced Process Innovation program implementation.

  • Implement data quality checks and monitoring processes to ensure the integrity and reliability of data.

  • Support the deployment of AI/ML models by integrating them into production systems and workflows.

  • Work with stakeholders to identify data needs and provide insights to enhance decision-making processes.

  • Stay updated on industry trends and best practices in data engineering, AI, and machine learning.

REQUIREMENTS

  • Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field.

  • Minimum of 5 years of experience in Data Engineering or in a similar role. Experience within chemical or manufacturing industry is preferred.

  • Strong knowledge of RESTful API design and proficiency in programming languages such as Python or Java, collaborative tools like Azure DevOps, and experience with data visualization tools (i.e., Tableau, PowerBI).

  • Experience with data processing frameworks and ETL tools (i.e., Stitch, Alteryx, Dataiku, etc).

  • Strong knowledge of SQL and database management systems (e.g., PostgreSQL, MySQL).

  • Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and data warehousing solutions (e.g. Databricks).

  • Understanding of machine learning concepts and experience with ML frameworks (e.g., TensorFlow, PyTorch) is a plus.

  • Familiarity with other engineering/process control related software (ASPEN, PACE, etc) is a plus.

  • Excellent communication skills, intercultural competence and team spirit with curiosity to explore new technologies and tools in the industry.

  • Ability to present and suggest sound data-centric recommendations based on analytical thinking.

Your Application
 

To ensure that your application is proceeded as quickly as possible and to protect the environment, please apply online via our careers portal. Further information about Evonik as Employer can be found at https://careers.evonik.com

Please address your application to the Talent Acquisition Manager, stating your earliest possible starting date and your salary expectations.

Your Talent Acquisition Manager:

Samantha Fu

Company is

Evonik (SEA) Pte. Ltd.

Top Skills

Alteryx
Aspen
AWS
Azure
Azure Devops
Databricks
Dataiku
GCP
Java
MySQL
Pace
Postgres
Power BI
Python
PyTorch
SQL
Stitch
Tableau
TensorFlow

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