Middle/Senior Data Pipeline Engineer (Nordic healthcare)

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Data Engineering





Opinov8 is a technology service provider, with an Opinion in Innovation, we engage with our clients at any stage in their product engineering and innovation goals, with solutions being mainly collaborative and outcome-driven. We are driven by delivering value, for our clients, through technological innovation.
We are a young energetic and dynamically agile company and the team behind Opinov8 are software industry veterans. We are ambitious on our own and on our client’s behalf and we do not look at a client engagement as a project, we are in it to help our clients build sustainable products, platforms, and businesses.
Our core values and what we look for in our Opinov8rs:
You are Collaborative - which is a key component to being successful in distributed environments.
You are Innovative - it is a requirement that we innovate, as individuals and as a company.
Be Adventurous - courageous people are adventurous, we are hiring and nurturing this quality.
Always Respectful - remember if you don’t respect others they will not respect you.
Inherently Intelligent - it goes without saying we are all intelligent in our own way.
Ultimately Responsible - being responsible is a core personality trait that is needed for us and our clients’ success and ultimately a happy work environment.
We are looking for an analytical and data driven Middle-Senior Data Pipeline Engineer to be an integral part of the engineering team building the premier healthcare market intelligence platform.
Within this team, you’ll be providing infrastructure and tools we can use to deliver end-to-end solutions to business problems that can be developed rapidly and maintained easily.
You will work within a cross functional engineering team platform engineers, which you’ll be:
-Scaling our existing data processes, focusing on quality every step of the way;
-Providing guidance on technology, library and tooling choices to the team;
-Wary of things like scope creep, over-engineering and ‘skipping unit tests for now’;
-Learning our business domain;
-Applying software engineering principles and practice;
-Solving business problems whilst avoiding technical complexity;
-Collaborating with other team members.
-3+ years of professional experience in building and maintaining ETL data pipelines.
-Experience with big data processing tools like Apache Spark.
-Experience with big data storage layers tools like Delta Lake.
-Experience with all-in-one analytics tools like Databricks.
-Experience with Python, or Scala.
-Experience with object-oriented design and coding and testing patterns, including experience with engineering software platforms, data infrastructures, and reusable unit and integration tests.
-Familiarity with .Net and Vue.js is a big plus.


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