Position: Middle/Senior Data Engineer from Denmark
Company: AOG Global
Experience required: 3y
English level: upper

**In the HQ office, they work 2-3 days a week onsite and they therefore looking for candidates who can work closely with the current team members. That means, that the freelancer needs to be able to join the team a few days per week.**
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**Briefly about the project**
We are on a journey from IaaS based Microsoft/QV solutions to Azure PaaS with use of well-known tools and solutions like ADF, Data lake, Synapse, Analysis Services and DataBricks.

**Requirements**
Relevant education in Computer Science, Mathematics, Economics, Information Management, or Statistics
**3+ years of experience as a Data Engineer** or in Software engineering role with focus on data
Proven experience with ADF, Data Lake, Synapse, T/U-SQL, DataBricks, MDS, DAX, PowerBI and SQL Server
Experience with at least one object oriented or functional/scripting languages – Java, Scala, Python etc.
DevOps and CI/CD focus
Hands-on with git and coding best practice
Unit testing
Experience in working with relational data sets using SQL
Experience with datawarehousing, dimensional modelling and cubes
Experience in building, and optimizing data pipelines, architectures, and datasets
Experience in working with Azure, AWS or other cloud providers
Designed, built and delivered production ready data products at an enterprise level
Highly proficient in English and able to communicate with all levels
Agile mindset and experience of Scrum
**Upper-Intermediate level of English**

**It’s a plus if you have worked with:**
Big data: Spark, Hadoop
Data pipeline and workflow tools: Airflow
Infrastructure: Kubernetes and Helm; we’re using Airflow running on Kubernetes
Stream-processing systems: Kafka or Spark Streaming

**We offer:**
The full-time workload on a remote basis)
Duration - until the end of this year
Project starts - ASAP
**Candidate's location - Denmark**