Margo
We are looking for data engineers perfectly familiar with data literacy and proficient with data platform architecture patterns. The data platform is leveraging MS Azure services, including ingestion, staging, processing, and serving. The client now entering a phase of scaling Databricks solution, then we are looking for resources with relevant skills on this technology.
The position is ideal for you if you have:
3+ years of experience as a Data Engineer
Experience with Azure Databricks and Power BI
Fluent in English (written and spoken)
Joining Margo you can expect:
Ability to work in an international consulting company on ambitious projects,
Permanent contract or B2B cooperation,
Benefits such as medical care and sports card,
Co-finantrainings, certification exams and post-graduate studies,
Internal training and the possibility of using our know-how,
Possibility to use our library free of charge,
Individual approach and development opportunities (career path planning, ability to change the
project and position, possibility to get involved in outside-project activities with additional
remuneration),
Possibility to influence the shape of the company, openness to your ideas and willingness to
implement them,
Excellent working atmosphere, integration events.
Data engineer, with proven skills with Databricks.
Missions :
support our dev team to develop our data pipelines & data transformation & data exposure services
Actively Contribute to the continuous improvement of our dev patterns
Document developments & unit testing
Improve platform observability capabilities
Key skills :
Proficient in SQL, Python and PySpark
At least 2 years of experience in Databricks, with proven
experience deploying Unity Catalog solutions
Proven experience working in Azure, and more specifically with the following services within Azure: Data Factory, SQL Database,
Data Lake, Logic Apps
Skilled in Data modelization, whatever the supporting tool.
Comfortable with business-specific discussions.
Opublikowana | 7 dni temu |
Wygasa | za 23 dni |
Rodzaj umowy | B2B |
Tryb pracy | Zdalna |
Źródło | ![]() |
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