Miba: Where team spirit meets innovative spirit.
Our mission “Technologies for a cleaner planet” is more than just a motto – it is something we live and breathe. With our team spirit and innovative spirit, together with our customers we develop technologies for the more efficient and more sustainable generation, transmission, storage and use of energy. This requires one thing above all: people with the motivation to contribute and the passion to make a difference.
Together we are creating a cleaner future.
Together we are brilliant.
Miba is one of the leading strategic partners to the international engine and automotive industry.
Data Engineer
Your common path with Miba
What you can expect
MustHave
- Bachelors orequivalentdegree in Computer Science, IT, electronics and communications
- Minimum 5-7yearsof professional experience in relevant Data Engineering field and
- knowledgeofcloudplatform i.e., Azure.
- Minimum 3yearsof strong experience in Databricks, pyspark and SQL.
- Experience into SQL storedprocedures, Views, functions, SAP ODATA etc.
- Experience with Azure Data Lake, Azure Synapse, Azure Data Factory, SQL Data Warehouse,
- Azure Blob, Azure Storage Explorer
- Proficient in creating Data Factory pipelinesfor on-cloud ETL processing; copyactivity,
- custom Azure development etc.
- Good verbal and writtencommunicationskills.
- GoodToHave
- Goodtohaveknowledgeof BI relatedtechnologies i.e. PowerBI, SSRS.
- Knowledge ofMachine Learning models in Databricks.
- Knowledge orexperience in rowlevelsecurity, GIT, CI/CD.
- Experience withorknowledgeof Agile Software Development methodologies.
What makes you special
Soft Skills
- Assuming personal responsibility & demonstratingreliability
- Own Initiatives and perseverance
- Ability to deal withconflicts & solveproblems
- Negotiationskills
- Decisionmaking
- Ability toCooperate
- Excellentwritten and verbal communicationskills
At Miba, we believe that diversity generates and drives innovation. That's why we live fairness and equal opportunity and welcome people with diversity in terms of different origin, culture, religion, gender, age, impairment and sexual orientation.
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