Objective of the position
Describe your Product Mission here / objective of the role.
At our unit “Data Foundation - Big Data Management” we aim to offer organizations a robust and scalable solution for managing and deriving insights from vast quantities of data. By utilizing Azure's PaaS components, our platform streamlines the deployment and handling of Big Data workloads, empowering our clients to make data-driven decisions and propel business expansion. Our team is accountable for the creation and upkeep of the Big Data platform built on Azure PaaS components EDL (Enterprise Data Lake). We collaborate intensively with stakeholders to comprehend their needs and devise solutions that fulfill their expectations. The team is also in charge of guaranteeing the platform's scalability, dependability, and security, and for staying abreast with the newest technologies and trends in the big data domain
We are seeking a highly motivated and detail-oriented candidate who will be responsible for all data engineering aspects of the data product layer of our Enterprise Datalake, working with Azure and Databricks, maintaining/developing our framework and CI/CD pipelines and processes in an ambitious team.
minimum requirement to carry out the work – you might want to point out “additional plus/nice to have skills” that are not mandatory
Bachelor's degree in computer science, Information Technology, Engineering, Business, or related fields.
Minimum 7-8 years related working experience as a Dataengineer using Azure, Databricks, Python, Azure Data Factory or Synapse
T e c hn i c a l & P r o f e ss i o n a l Knowledge (mandatory)
Strong knowledge in automation & scripting with tools like Github actions , Azure DevOps pipelines, Azure Data Factory, etc.
T e c hn i c a l & P r o f e ss i o n a l Knowledge ( additional plus/nice to have skills)
