Growth hacker - Udlandet
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Fastansættelse, Freelance - Udlandet
Note: Dette er et freelancejob på Worksome - Danmarks største platform for professionelle konsulenter og freelancere. Se mere om virksomheden og stillingen og ansøg via Worksome her: https://use.worksome.dk/job/10952
Customer: Equinor, Oil & Gas:
Department
Continue developing the basis for a Company Sub-Surface data lake projects related to domain such as Petec, D&W and R&T. To make data accessible and improve learning from experience. Key activity: build data pipelines from different source data (data ingestion), make existing pipelines more robust, combine different well data together (data transformation) and build KPI's for data consuming.
Description of tasks
Be part of DevOps team (full stack) supporting the development of “Next Generation Well Delivery” (D&W) project and Production Attainment (Petec). The DevOps teams will in addition to the project build on and incorporate data towards Azure/Omnia data lake: building data pipelines from different source data (data ingestion). Make existing pipelines more robust, combine different data together (data transformation) and build API’s for consumption (exposure)
Competence requirements
Data engineer competence
• Ability to analyze data to identify deliverables, gaps and inconsistencies.
• Ability to access various data sources and extract data. This can mean anything from ODBC/JDBC connections to databases to Kafka to HTTP/REST to FTP to ETL tools to provisioning manual data capture or upload facilities.
• Ability to ingest extracted data into a database or platform, cleanse and curate said data for future use. This means knowing SQL, Hive, or any other number of data manipulation tools.
• Ability to provision stored data into a form that can be used by front-end analytics products. This can involve creating semantic views of the data in a database to providing cube structures for analysis to providing streaming sources for ingestion into batch to real-time engines. The analytics applications can be straightforward BI visualization to predictive analytics to machine learning models. Tools and expertise
• Azure competence preferred
• C#, Python, JavaScript, relational databases preferred (developer)
• Experience with ETL/ELT data loads preferred (data science, data engineering)
• DevOps experience is nice to have
• Familiarity with modern source control systems (git preferred)
• Experience with Agile development is nice to have
• Able to understand various data structures and common methods in data transformation.
• Experience with NoSQL databases, such as MongoDB.
• RDBMS and data warehouses.
• Experience with schema design and dimensional data modeling.
Note: Dette er et freelancejob på Worksome - Danmarks største platform for professionelle konsulenter og freelancere. Se mere om virksomheden og stillingen og ansøg via Worksome her: https://use.worksome.dk/job/10952
Kilde: Jobnet.dk
Customer: Equinor, Oil & Gas:
Department
Continue developing the basis for a Company Sub-Surface data lake projects related to domain such as Petec, D&W and R&T. To make data accessible and improve learning from experience. Key activity: build data pipelines from different source data (data ingestion), make existing pipelines more robust, combine different well data together (data transformation) and build KPI's for data consuming.
Description of tasks
Be part of DevOps team (full stack) supporting the development of “Next Generation Well Delivery” (D&W) project and Production Attainment (Petec). The DevOps teams will in addition to the project build on and incorporate data towards Azure/Omnia data lake: building data pipelines from different source data (data ingestion). Make existing pipelines more robust, combine different data together (data transformation) and build API’s for consumption (exposure)
Competence requirements
Data engineer competence
• Ability to analyze data to identify deliverables, gaps and inconsistencies.
• Ability to access various data sources and extract data. This can mean anything from ODBC/JDBC connections to databases to Kafka to HTTP/REST to FTP to ETL tools to provisioning manual data capture or upload facilities.
• Ability to ingest extracted data into a database or platform, cleanse and curate said data for future use. This means knowing SQL, Hive, or any other number of data manipulation tools.
• Ability to provision stored data into a form that can be used by front-end analytics products. This can involve creating semantic views of the data in a database to providing cube structures for analysis to providing streaming sources for ingestion into batch to real-time engines. The analytics applications can be straightforward BI visualization to predictive analytics to machine learning models. Tools and expertise
• Azure competence preferred
• C#, Python, JavaScript, relational databases preferred (developer)
• Experience with ETL/ELT data loads preferred (data science, data engineering)
• DevOps experience is nice to have
• Familiarity with modern source control systems (git preferred)
• Experience with Agile development is nice to have
• Able to understand various data structures and common methods in data transformation.
• Experience with NoSQL databases, such as MongoDB.
• RDBMS and data warehouses.
• Experience with schema design and dimensional data modeling.
Note: Dette er et freelancejob på Worksome - Danmarks største platform for professionelle konsulenter og freelancere. Se mere om virksomheden og stillingen og ansøg via Worksome her: https://use.worksome.dk/job/10952
Kilde: Jobnet.dk
Information og data
Denne ledige stilling har jobtypen "Softwareudvikler", og befinder sig i kategorien "Informationsteknologi".
Arbejdsstedet er beliggende i Udlandet
Jobbet er oprettet på vores service den 13.11.2019, men kan have været deaktiveret og genaktiveret igen.
Dagligt opdateret: Dette job opdateres dagligt ud fra jobudbyderens hjemmeside via vores søgemaskineteknologi og er aktivt lige nu.
- Softwareudvikler
- Udlandet
- Onsdag den 08. januar 2020
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Statistik over udbudte jobs som softwareudviklere i Udlandet
Herunder ser du udviklingen i udbudte softwareudvikler i Udlandet over tid. Bemærk at jobs der ikke har en bestemt geografi ikke er medtaget i tabellen. I den første kolonne ser du datoen. I den næste kolonne ser du det samlede antal softwareudviklere i Udlandet.
Se flere statistikker her:
Statistik over udbudte softwareudviklere i Udlandet over tid
| Dato | Alle jobs som softwareudviklere |
|---|---|
| 27. november 2024 | 11 |
| 26. november 2024 | 11 |
| 25. november 2024 | 11 |
| 24. november 2024 | 10 |
| 23. november 2024 | 9 |
| 22. november 2024 | 9 |
| 21. november 2024 | 9 |
| 20. november 2024 | 9 |
| 19. november 2024 | 9 |
| 18. november 2024 | 8 |
| 17. november 2024 | 8 |
| 16. november 2024 | 8 |
| 15. november 2024 | 9 |
| 14. november 2024 | 9 |
| 13. november 2024 | 9 |
| 12. november 2024 | 9 |
| 11. november 2024 | 9 |
| 10. november 2024 | 9 |
| 9. november 2024 | 9 |
| 8. november 2024 | 10 |
| 7. november 2024 | 10 |
| 6. november 2024 | 10 |
| 5. november 2024 | 10 |
| 4. november 2024 | 10 |
| 3. november 2024 | 10 |
| 2. november 2024 | 10 |
| 1. november 2024 | 10 |
| 31. oktober 2024 | 9 |
| 30. oktober 2024 | 8 |
| 29. oktober 2024 | 7 |
| 28. oktober 2024 | 5 |