WHAT YOU'LL BE RESPONSIBLE FOR: 

 Build and rollout of value-driven digital applications.

 Build end-to-end data workflows.

 Enable data for big data compute and processing

 Support and maintain all data repository to ensure all data are properly catalogued and identified

 Selecting and integrating any Big Data tools and frameworks required to provide requested 

capabilities

 Convert problem discovery into valuable applications through writing code with a specialisation in 

Data Engineering, Data Pipeline and Data Architecture.

 Development, customization and monitoring of ETL processes using the latest cloud technologies 

(MS Azure);

 Design, implementation and maintenance of data integration routes and reusable data services as part 

of a company-wide data architecture structuring;

 Interact with technical and non-technical SFL departments to lead problem discovery and solution 

exploration activities.

 Collaboration in interdisciplinary, agile project teams.

JOB QUALIFICATIONS 

 Bachelor’s degree in a related field (Data Engineering, Information Technology, Engineering, 

Computer Science). An advanced degree in a related area is an asset.

 Good at PowerBI tool

 Minimum 3 years of being in big data engineer role. Work on collecting, storing, processing, and 

analyzing of huge sets of data from various sources.

 3+ years experience in database engine: MS SQL, Data virtualization (Denodo)

 Familiar with using data processing platforms and tools like Azure Data Factory

 Good knowledge of object-oriented programming language (Python preferably);

 Proven experience working with Cloud Environments (Azure preferably);

 Good knowledge of Big Data querying tools, such as Pig, Hive, and Impala

 Know-how and practical experience with IoT, machine connectivity and messaging infrastructure 

(NATS.io, e.g.)

 Well knowledge of DWH (design, operation, security)

 Project management activities involvement 

 Community Contributions

 Business Domain Experiences (smart manufacturing, productivity improvement, quality production 

enhancement)

 Excellent problem-solving and analytical ability

 Proactive working and openness for the changes 

 Ability to work independently and collaborate in a team environment

 Language proficiency: English fluency

 International project experience.

 Consulting for Sales/Biding Team

 Working with global team experience