Data Engineer with analytical skills
Data Engineer with analytical skills
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
We are looking for you if you:
- have experience with Apache Airflow Spark Python
- experience in building Azure GitLab CICD pipelines
- have handson experience building complex ETL data pipelines
- have experience in setting up and optimizing both SQL and noSQL data stores (MSSQL Hive) as well as familiarity with object storage services (e.g. S3
- can manage accesses data and code repository (code review and testing on Azure DevOps)
- have excellent communication skills including being able to explain technical terms to nontechnical audience
Youll get extra points for:
- financial knowledge about transaction analysis
- experience of applying data analysis and data science in financial sector.
Your responsibilities:
Your passion is to work with the latest concepts and technologies in the field of Data Engineering. As an engineer you will be responsible to design and build the data pipelines for one of many use cases catering stakeholder requirements collaborate with the data analysts and UX researchers to create the best user experience and insights for our users. Your daytoday activities can look like this: implementing new features in Kedro/PySpark testing them in Apache Airflow deploying it in our inhouse platform running on Kubernetes as well as optimizing the data in the permanent data store.
Information about the squad:
The Analytics Engineering team is a team of 80 people (and growing rapidly) that has the mission to make ING data driven. We do this by combining Big Data technology with Data Science to deliver high value solutions and products for our organization. We work in a fun and creative environment and were dedicated to bringing out the best in both each other and our projects.
Employment Type
Full-Time
