Cloud-Based Data Solutions Architect

1 dzień temu


Mieczysława Medweckiego Kraków, Polska INEXTO POLAND Pełny etat

INEXTO, a global leader in secure technology solutions, is seeking an experienced Cloud-Based Data Solutions Architect to join our team in Poland. With a passion for cutting-edge technology and innovative solutions, this individual will play a crucial role in designing and delivering scalable, cloud-based data solutions.

The ideal candidate will have at least 5 years of experience in data engineering with exposure to AI/ML workflows and a proven ability to design and deliver scalable, cloud-based data solutions. As a proactive and resourceful individual with strong problem-solving and collaboration skills, they will be responsible for managing data pipelines and workflows using Azure Data Lake, Delta Lake, Synapse, and Spark.

We are offering a competitive salary of €80,000 - €110,000 per year, depending on experience, to attract top talent in the industry. Additionally, our comprehensive benefits package includes health insurance, retirement savings plan, and paid time off.

In this role, you will have the opportunity to work with a talented team of professionals who share your passion for innovation and excellence. If you're ready to take your career to the next level and contribute to the development of groundbreaking solutions, we encourage you to apply.

Responsibilities:

  • Design and manage data pipelines and workflows using Azure Data Lake, Delta Lake, Synapse, and Spark
  • Build and optimize modern data platforms with tools like Azure Fabric and Cosmos DB
  • Prepare, process, and transform large datasets to enable advanced analytics and machine learning outcomes
  • Create dashboards and data visualizations with Power BI, supporting AI-driven decision-making
  • Implement data governance frameworks to ensure security, compliance, and high data quality

Requirements:

  • Proficiency in Azure data technologies: Azure Data Lake, Delta Lake, Fabric, Synapse Analytics, and Azure AI/ML
  • Hands-on experience with big data frameworks like Apache Spark and databases such as Cosmos DB
  • Strong skills in ETL processes, data transformation, and pipeline orchestration
  • Proficiency in programming and scripting languages such as Python, C# (including ML libraries), SQL, and Spark.
  • Hands-on experience with Power BI for building dashboards and visualizations


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