ML Engineer – Analytics Foundation COE Job Vacancy in Danske Bank Bengaluru, Karnataka – Updated today
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Full Details :
Company Name : Danske Bank
Location : Bengaluru, Karnataka
Position :
Job Description : Description –
Danske Bank is one of the largest banks in Northern Europe with over 20.000 employees. In Danske Bank, we are committed to be on the forefront of the digital development in a pursuit to create the bank of the future.
Who are we and what do we do?
Our responsibilities are to improve the Data Engineering and operationalization of the Data Science models developed in the Risk & compliance analytics in the bank. The Big Data Engineering team is responsible for building the data pipelines while advancing the boundaries of the newest available technologies. We strive for building robust, scalable and easy maintainable solutions and are now starting the journey to move to the Public Cloud.
Your main responsibility will be to build the data pipelines. The pipelines will be built by utilizing both our Data Lake and in future it could be using our public cloud. All tasks will be solved as part of multifunctional DevOps squads consisting of broad capabilities delivering end to end Data Science solutions within the domains of Risk and Compliance. You will therefore be working closely with skilled Data Scientists and Machine Learning Operations Engineers as well as the business units who are consuming the data science services.
A bit about you and your background
We are looking for a Big Data Engineer/ML Engineer with a solid experience – for instance from a senior position in a similar role. We are a new department and we are still building processes and maturing the tech stack. Therefore, we are looking for an engaged and enthusiastic person who can take on responsibility from the first day. Furthermore, we are looking for experience and a personality that will question and examine the existing to assist us improve the data agenda within Data Science forward. Finally, we are seeking people that are hands on and are able to take tasks and projects to the finishing line.
Therefore, we are looking for senior profile with minimum 7+ years’ experience in at least one of the following areas:
– Primary Skills : Big data, Hadoop, Linux, Hive, HDFS, Python, Spark, CI/CD tools, Job orchestration tools like Airflow, Database fundamentals including SQL, Database Performance tuning and Schema design, Git
– Secondary Skills : Preferred to have experience on Public Cloud (Either Azure/AWS/GCP), Data Governance, Data catalog
We are offering an exciting environment where your personal development is in focus. We are a global department located in multiple locations around the world and we welcome applicants regardless of whether you come from Data Science or have been working with Data Pipelines outside the realms of Data Science.
We look forward to hearing from you.
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