
OUR CLIENT – is a new company in Lithuania but is commercially backed by a well-established business abroad. It is a dynamic and innovative gaming company that's passionate about creating immersive and cutting-edge gaming experiences: “Our mission is to empower gaming companies with robust, efficient backend infrastructure that enhances gameplay and user experience. With a team of passionate technologists and industry experts, we foster a culture of innovation, collaboration, and agility — ideal for those who thrive in dynamic, fast-paced environments.” Responsibilities Model and transform data to support reporting and analytics, with a strong focus on star and snowflake schemas; Contribute to the development and maintenance of ETL/ELT pipelines feeding the reporting layer; Create, optimize, and maintain Power BI datasets and reports (including measures, relationships, and visuals); Use SQL and PySpark to clean, join, and aggregate data within the Lakehouse environment; Collaborate with data engineers, analysts, and business stakeholders to understand reporting requirements and translate them into robust data models; Support monitoring of data quality and performance at the reporting layer and propose improvements where needed. Practical experience in building Power BI reports (data model, measures, visuals, basic performance optimization); Understanding of data modeling concepts, especially Star Schema and Snowflake Schema; General understanding of Data Lake / Lakehouse / Data Warehouse architectures; Hands-on experience with SQL for querying and transforming data; Basic knowledge of PySpark or initial experience with Python/Spark and a strong willingness to develop this further. Nice-to-have skills Exposure to or experience with Microsoft Fabric (Lakehouse, Warehouse, Data Engineering experiences); Experience with Azure Data Factory or similar ETL/ELT orchestration tools; Experience with MongoDB or other NoSQL databases; Familiarity with Git and version control workflows. Exciting projects using cutting-edge technologies; Collaborative and supportive work environment; Opportunity to become one of the first faces of the company in Lithuania, with the potential to grow rapidly into a managerial position; The offered salary range for this position is 2000-3000€ per month (gross). Salary expectations will be discussed based on your competencies and experience. Only shortlisted candidates will be contacted.
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