Scala Developer / Big Data Engineer
Budget: €18 – €36 EUR
About this opportunity
Welcome to the Capability Area Data Engineering. We add value by building distributed and highlyparallelized data processing pipelines which process a massive amount of data. We leverage Scala and Spark to enrich and transform corporate data to enable searching, data visualization andadvanced analytics. As the (Senior) Data Engineer, you will play a valuable role in creating high-performing, flexible, robust, scalable and easily maintainable global reporting solution for the Bank.
What you’ll be doing:
• Building distributed and highly parallelized Big data processing pipeline which process massiveamount of data (both structured and unstructured data) in near real-time
• Leveraging Spark to enrich and transform corporate data to enable searching, data visualization,and advanced analytics
• Working closely with analysts and business stakeholders to develop analytics models
• Continuous delivering on Hadoop and other Big Data Platforms
• Automating processes where possible and are repeatable and reliable
• Working closely with QA team
You’ll join a team where your personal development is our number one priority. In regular one on ones and quarterly feedback talks, you and your manager will identify possible paths for you to grow and the right amount of guidance needed to reach you. The role is based in Gdynia, Gdańsk, Warsaw, Łodź, Oulu or Helsinki.
Who you are
Collaboration. Ownership. Passion. Courage. These are the values that guide us in being at our best– and that we imagine you share with us.
To succeed in this role, we believe that you:
• Are collaborative and achieve your expectations through communication and teamwork
• Are curious, responsive and can understand the needs of others to ensure delivery of the desired results
• Work qualitatively and strive to always do things better
• Have a high level of self-motivation
Your experience and background:
• Experience working in Agile methodologies
• Unit testing experience with framework ScalaTest or similar
• Minimum 5 years of programming experience in Scala and/or Python
• Experience with distributed data processing engines, like Spark, Hadoop
• Experience with SQL, GIT, Bitbucket
• Experience in Data Warehouse concept
As an advantage, familiarity with one or more of the below technologies:
• Atlassian Suite: Confluence, JIRA
• Hadoop ecosystem (sqoop, hive, oozie, kafka, etc)
• Kubernetess/Docker - basic knowledge
Welcome to the Capability Area Data Engineering. We add value by building distributed and highlyparallelized data processing pipelines which process a massive amount of data. We leverage Scala and Spark to enrich and transform corporate data to enable searching, data visualization andadvanced analytics. As the (Senior) Data Engineer, you will play a valuable role in creating high-performing, flexible, robust, scalable and easily maintainable global reporting solution for the Bank.
What you’ll be doing:
• Building distributed and highly parallelized Big data processing pipeline which process massiveamount of data (both structured and unstructured data) in near real-time
• Leveraging Spark to enrich and transform corporate data to enable searching, data visualization,and advanced analytics
• Working closely with analysts and business stakeholders to develop analytics models
• Continuous delivering on Hadoop and other Big Data Platforms
• Automating processes where possible and are repeatable and reliable
• Working closely with QA team
You’ll join a team where your personal development is our number one priority. In regular one on ones and quarterly feedback talks, you and your manager will identify possible paths for you to grow and the right amount of guidance needed to reach you. The role is based in Gdynia, Gdańsk, Warsaw, Łodź, Oulu or Helsinki.
Who you are
Collaboration. Ownership. Passion. Courage. These are the values that guide us in being at our best– and that we imagine you share with us.
To succeed in this role, we believe that you:
• Are collaborative and achieve your expectations through communication and teamwork
• Are curious, responsive and can understand the needs of others to ensure delivery of the desired results
• Work qualitatively and strive to always do things better
• Have a high level of self-motivation
Your experience and background:
• Experience working in Agile methodologies
• Unit testing experience with framework ScalaTest or similar
• Minimum 5 years of programming experience in Scala and/or Python
• Experience with distributed data processing engines, like Spark, Hadoop
• Experience with SQL, GIT, Bitbucket
• Experience in Data Warehouse concept
As an advantage, familiarity with one or more of the below technologies:
• Atlassian Suite: Confluence, JIRA
• Hadoop ecosystem (sqoop, hive, oozie, kafka, etc)
• Kubernetess/Docker - basic knowledge
Related categories:
Scala