Expertise in Azure Data Platform with strong experience in Azure Databricks
Solid knowledge of Apache Spark and distributed data processing
Excellent skills in Python and SQL
Experience with Data Lake architectures
Strong understanding of data modeling and data processing principles
Proficiency with Git and collaborative development environments
Nice to Have
Experience with Hive and Apache Impala
Familiarity with CI/CD pipelines for data solutions
Exposure to working with large-scale datasets (Big Data)
Background in the financial services sector
Joining this project you’ll become part of Mindbox – a tech-driven company where consulting, engineering, and talent meet to build meaningful digital solutions. We’ll back you up every step of the way, accelerate your development, and ensure your skills make a difference.
At Mindbox we connect top IT talents with technology projects for leading enterprises across Europe.
We are seeking an experienced Senior Azure Data Engineer to join our team and contribute to the design and development of a modern data platform leveraging Azure Databricks, Apache Spark, and Data Lake . If you are passionate about building scalable data solutions and working with the latest cloud technologies, this opportunity is for you!
Sounds like your kind of challenge?
What you get in return
Flexible cooperation model
Hybrid work setup – remote days available depending on the client’s arrangements - 1-2 days a week from the office in Warszawa
Collaborative team culture – work alongside experienced professionals eager to share knowledge
Continuous development – access to training platforms and growth opportunities
Comprehensive benefits – including Interpolska Health Care, Multisport card, Warta Insurance, and more
High quality equipment – laptop and essential software provided
,[Design and develop data processing workflows and pipelines, Build and maintain scalable data pipelines for analytics and reporting, Work with Azure Databricks and Apache Spark for large-scale data transformations, Develop robust solutions using Python and SQL, Integrate data from multiple sources and ensure high data quality, Optimize performance and efficiency of ETL/ELT processes, Monitor data flows and troubleshoot issues to ensure stability, Collaborate closely with data architects, analysts, and business teams] Requirements: Azure Data, Azure Databricks, Spark, Python, SQL, Git, Hive, CD pipeline, CD pipelines
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