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Would you like lead the development on our new Snowflake DW - and build new and reusable data pipeline from stream (Kafka/Spark) and batch data sources ? Your technical expertise will include general software engineering, Data Warehouse as well as big data/streaming analytics.

In Nordea, we’re harnessing the power of technology to reinvent the future of banking. A tech revolution is underway – and you can make an impact. Working with international teams in an inspiring working environment, you’ll have lots of opportunities to expand your skills and advance your career. 

About this opportunity

You will work closely together with the business product owners, business SME’s, Group Architecture and developers to understand and analyse the business needs from which you will design and implement end-2-end solutions on our new Snowflake platform

You’ll join Databases and Reporting, where we are delivering the future Data & Analytics platforms and solutions for Nordea Business & Institutional Technology. We deliver on multiple data platforms (Teradata and Snowflake) as well as on many enterprise and self-service data integration and analytical platforms.

What you’ll be doing:
-   End2end design and hands on development:
-         Data Streaming/data integration: Spark (Java/Scala/Python)
-         Data storage on Snowflake
-         ETL: Datastage & SSIS
-         Front-end: PowerBI & SAP BO
-   Technical leadership & coaching for the development team(s) based in Denmark, Poland and India
-   Solution design and data modelling
-   Recommendations about platform/tool selections, information architecture, including implementation of data governance principles
-   Actively demonstrating focus on business requirements and understanding of the complete Data & analytics delivery value chain:
-         Analysing requirement and define overall implementation specifications together with architects and developers
-         Data analysis & modelling
-   Proactively engaging stakeholders through clear communication, managing their understanding, expectations and involvement
-   Validating the solutions both from a requirement fulfilment perspective as well as from a technical perspective (fit for purpose)

The role is based in Copenhagen

Who you are

Collaboration. Ownership. Passion. Courage. The four key values that guide us in being at our best and that we expect all our colleagues to be committed to.

To succeed in this role, we believe that you:
-   you work well with others and always act with the customer’s needs in mind
-   you love learning and trying new things
-   you are excited about bringing your ideas to the table
-   you are honest and dependable, willing to speak up even when it’s difficult, and committed to empowering others
-   you are passionate about doing a great job

Your experience and background:
-   10+ years’ experience in DW, BI & analytics as an architect and/or developer
-   Software Engineering skills in Java/Scala, CICD, TDD, Unit Testing and E2E Testing
-   Hands on experience with Snowflake (on AWS)
-   Academic IT degree
-   Experience with information and/or solution architecture is preferred
-   Be a strong communicator with business and be a bridge builder between business and IT.

Experience in one or more of the following technologies is preferred, but not mandatory:
-   Spark/Kafka
-   Java/Scala
-   SQL
-   PowerBI, SAP BO
-   Datastage
-   SSIS / SSASNext steps

For more information about the position, you are welcome to contact Head of Databases & Reporting, Troels Nissen, phone +4561202365, [email protected]

We believe that diversity improves team performance. Therefore, we strive to form teams with a mix of people of different genders and ages, and with different backgrounds and experiences.

Great people often know great people – please share if you have a friend who would love this job.

Detta är en jobbannons med titeln "Lead Data Engineer / Snowflake lead developer, Stockholm" hos företaget Nordea Bank Abp, Filial i Sverige och publicerades på webbjobb.io den 3 mars 2021 klockan 14:24.

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