University degree or equivalent (preferable in Computer Sciences, Information & Technology or similar)
1+ year of experience in enterprise developing/modelling in one of technologies: Power BI data modelling, dashboard/visualization, Power Query, DAX formulas and data warehousing concepts/models, Power App and Power Automate design and development
1+ year of experience with cloud-based Big Data platforms, Data Quality, Data Catalog solutions, and Data Analytics, preferably based on Microsoft Technology (e.g. Fabric/Azure Synapse Analytics, Azure Data Lake Storage, Power BI, MS Purview , Databricks, Spark, etc.).
Knowledge of data governance practices, business, and technology issues related to the management of enterprise information assets
Proficiency in SQL and other data manipulation languages including joins, aggregations and subqueries.
Practical Experience with Python, R, or other data-related programming languages/libraries (e.g. PySpark, Pandas, NumPy etc.) is a plus
Fluent English
Responsibilities:
Assist in designing, implementing, and supporting data governance, data quality and master data management solutions within the organization under the guidance of senior team members
Work with relevant teams to monitor, rectify and improve data quality
Help and contribute to the enhancement and maintenance of the corporate Data Catalogue, ensuring accurate metadata management and data classification.
Assist in creating and implementing processes for data/metadata collection, storage, use, and governance in the corporate Big Data Platform
Contribute to the development of advanced data models to drive business insights and decision-making, addressing common challenges related to data silos and ensuring data consistency across all systems.