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 owning the data product layer of our Enterprise Datalake, managing and prioritizing the requirements of our stakeholders in an Azure and Databricks environment together with an ambitious team.
Main Task:-
Act as the point of contact for new demands and requests from business customers looking to consume data from our Enterprise Datalake in the form of Data Products
Collaborate with data product owners and user teams to understand their data requirements and provide suitable solutions.
Test new features as well as improvements and suggest implementation if beneficial
Demonstrate fluent communication skills in English (spoken and written)
Job Requirements
Technical & Professional Knowledge (mandatory):-
Coming from a data engineering background having solid understanding of SQL, database technologies , data modelling and Business Intelligence area
Technical & Professional Knowledge (additional plus/nice to have skills) :-
Experience with Azure Da ta bricks, Azure Datafactory , Azure Synapse
Ideally, application of AI tools in any phase of the lifecycle of data solutions
PowerBI as one of the main tools of our users
Integration knowledge , how metadata can be exchanged with other applications
Experience with data cataloguing tools e.g. Col l ibra or Unity Catalog
Team player with strong interpersonal, written, and verbal communication skills
Edu c a t i o n :-
Bachelor's degree in computer science, Information Technology, Engineering, Business, or related fields.
Work experience :-
