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Archiviertes Projekt - München: Big Data / Product Owner w/m/d POS00389 PostgreSQL Kafka Spark Jupyter Azure AWS

Firmenname für PREMIUM-Mitglieder sichtbar

März 2020

Dezember 2020

D-Großraum München

auf Anfrage

03.03.2020

Projektbeschreibung

München: Big Data / Product Owner w/m/d POS00389 PostgreSQL Kafka Spark Jupyter Azure AWS

Einsatzort: München

Start: 23.03.2020, ein etwas früherer oder späterer Einstieg wäre möglich
Dauer: 31.12.2020
Ort: München

Big Data / Product Owner w/m/d

We are looking for a Big Data Product Owner who is as passionate about our vision as we are. This includes the
following responsibilities:
• Responsible for maximizing the value of the big data services offered as part of the Data Platform
• Define and implement the strategy and the vision together with the team
• Gather, validate and prioritize client needs and own and maintain the requirement backlog
• Understand the customer needs, and translate them into meaningful, usable stories;
• Ensures that the team understands the backlog items to the needed level
• Be the “gate keeper” of our offer, and push back unnecessary request
• Responsible for defining and implementing the roadmap
• Represent the "voice of the customer" within the team
• Collaborate with the customers, other PO´s and the development team to deliver a solution
• Take responsibility for the platform services operations
• Support building the Big Data DevOps team

Technical Skills
Our platform is a diverse product consisting of several technologies. This characteristic should be reflected
in our cross functional team of individuals who have a deep understanding of their technical specialty and at
the same time are able to work outside of their core area. We encourage to contribute your individual
strengths and personality to the team and give you the room to develop some new skills and experiences. The
following technical skills are required for this particular position:

Required Skills:
• Master or Bachelor in business informatics, computer science, or similar areas
• Experience as product owner in an Big Data team
• Technical knowledge and general understanding one or more of the following topics:
o Software engineering / Continuous integration, deployment and delivery
o Databases (e.g. PostgreSQL, Elasticsearch, Neo4J)
o Distributed systems (e.g. Spark)
o Event Based systems (e.g. Kafka)
o Data Science Tooling (e.g. Jupyter, R-Studio, Zeppelin)
o Linux & Containerization
o Cloud Solutions & Services (e.g. Azure, AWS)
o Workflow orchestration and automation (e.g. Luigi)
• Critical thinking generated by observation, experience, reflection, reasoning, and communication.
• Able to demonstrate how customer centric thinking is expressed and reinforced through the digital product
design processes
• Experience with common agile working tools (e.g. Jira, Slack, Confluence, Git)
• DevOps mindset (you build it, you run it; taking responsibility for your work)
• Team player open to work in an agile environment
• Fluent English (written and spoken) is a must, other languages (e.g. German, French, Italian, etc.) are a
plus

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