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Technologies-expected : Microsoft Azure SQL Hadoop Kafka Apache Hive Databricks about-project : The person in this role will work with project teams developing a modern data platform in a cloud environment for global brands. They will work in an international environment, specializing in BI & Big Data cloud architecture and the latest technologies in that area, and promote the principles of the Data Ops manifesto. responsibilities : Design, build, and optimize scalable data pipelines in Databricks platform using SQL/Python/Spark Developing existing projects in the Microsoft Azure environment to gain valuable insights for the business Ensuring that data is modelled and processed according to the architecture and both functional and non-functional requirements Planning and implementing processing pipelines for structured and unstructured data (e.g. video and images) Working to automate and optimize internal processes in Azure Collaborating with cross-functional and international teams both internally and externally requirements-expected : Minimum 3 years experience working with Databricks platform (Delta Lake, Workflows/Jobs, DLT, Unity Catalog) Strong experience with programming in Python Solid understanding of SQL and relational databases Knowledge of Data Warehouse, Business Intelligence and ETL/ELT data processing Familiarity with Medallion Architecture Very good knowledge of English (particular emphasis on written English) Proactive approach to tasks, problem-solving attitude and critical thinking skills Flexibility, independence and responsibility for assigned tasks A constant desire to improve your skills and learn new technologies Knowledge of Azure cloud components for data storage and processing: Azure Data Lake Storage, Azure Event Hubs, Azure Data Factory, SQL Database, Synapse, Fabric Experience with other big data technologies such as Hadoop, Hive, Kafka, and Flink would be an asset offered : Global projects in clouds — we work with clients from all over the world based on modern cloud technologies Certification reimbursement — we fund exams, certifications from Microsoft, AWS, Databricks, Snowflake Time to learn — 60 paid hours per year Flexible approach — you can choose to work from home or meet at our offices Personalized benefits — medical care, subsidized sports packages, language tuition, new employee referral bonus (up to PLN 15,000) as well as annual and media bonus benefits : sharing the costs of sports activities private medical care sharing the costs of foreign language classes sharing the costs of professional training & courses flexible working time integration events no dress code leisure zone employee referral program charity initiatives Learning Time