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Data Management Associate
Python

Data Management Associate

Warszawa
Type of work
Full-time
Experience
Junior
Employment Type
Permanent
Operating mode
Remote

Tech stack

    Power BI

    junior

    Spark

    junior

    Databricks

    junior

    SQL

    junior

    Python

    junior

    R

    nice to have

Job description

Online interview

Requirements:

  • 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.