Lead Data Engineer
at Vestas
8200 Aarhus, Region Midtjylland, Denmark -
| Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
|---|---|---|---|---|---|---|---|
| Immediate | 02 Oct, 2024 | Not Specified | 04 Jul, 2024 | N/A | Utilization,Programming Languages,Analytical Skills,Airflow,Snowflake,Python,Sql,Dbt,Data Products | No | No |
Required Visa Status:
| Citizen | GC |
| US Citizen | Student Visa |
| H1B | CPT |
| OPT | H4 Spouse of H1B |
| GC Green Card |
Employment Type:
| Full Time | Part Time |
| Permanent | Independent - 1099 |
| Contract – W2 | C2H Independent |
| C2H W2 | Contract – Corp 2 Corp |
| Contract to Hire – Corp 2 Corp |
Description:
DIGITAL SOLUTIONS & DEVELOPMENT > DIGITAL SOLUTIONS > CHAPTER - DATA ENGINEERING #1
The Data Products & Insights, a vital part of Digital Solutions, is dedicated to delivering accurate, available, and comprehensive data products to enable actionable insights. This newly established area is an integral component of Vestas’ innovative Digital Powerhouse. Our mission is to empower customers, partners, and colleagues to seamlessly discover, access, and connect essential information for informed decisions and impactful actions.
QUALIFICATIONS
We envision that you possess experience in designing, building, and maintaining data products within diverse cloud environments. Additionally, you should identify with one or more of the following qualifications:
- Proficiency in programming languages like SQL & Python
- Experience in the development, implementation, and utilization of CI/CD
- Expertise in designing and working with various Data Warehouse solutions and constructing data products using technologies such as Snowflake, dbt, Azure Data Engineering Stack (like storage accounts, key vaults etc.)
- Good problem-solving and analytical skills, capable of troubleshooting and resolving complex data issues
- Familiarity with agile development methodologies and DevOps practices
- Understanding of the data mesh concept
- Experience with Airflow, Dataiku, or Databricks is considered a plus.
Responsibilities:
As a Lead Data Engineer in the Data Engineering Chapter, you will collaborate closely with diverse product teams across the business. Your role involves leveraging a range of cloud technologies and tools tailored to the specific data products you are working on. This encompasses working with technologies and tools such as Snowflake, dbt, Dataiku, Azure Services (storage accounts, key vaults, etc.).
Your key responsibilities will encompass:
- Implementing and guiding the tech vision for the product team
- Designing, constructing, and maintaining scalable, reliable, and efficient data products
- Managing and monitoring data products
- Engaging in close collaboration with the data platform team
- Supporting the federated data governance policies across data products
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Information Technology/IT
IT Software - Other
Software Engineering
Graduate
Proficient
1
8200 Aarhus, Denmark
