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.
Excellent know-how respective area (industrial know-how, business procedures, IT know-how, SAP
Know-how, methods)
Minimum 4 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/ GCP 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