Wrocław, Wrocław, Lower Silesian Voivodeship, Polska
Sii Sp. z o.o.
14. 12. 2024
Informacje o stanowisku
technologies-expected :
Azure Databricks
Unity Catalog
Azure Data Factory
SQL Server
Azure DevOps
Azure Storage
Spark
technologies-optional :
Azure Key Vault
Azure Functions
Azure Stream Analytics
GitHub
Hadoop
Hive
IoT Hub
Azure Cybersecurity
Networking configurations
about-project :
Are you ready to be part of a cutting-edge biotech project that combines advanced data engineering with real-world impact? As part of our team, you will work on creating scalable data systems and infrastructure that support groundbreaking molecular biology research. Partnering with a global leader in biotechnology, we are delivering advanced data analytics and AI-driven solutions to revolutionize the field.
No prior experience in the biotech domain? No problem! We’ll ensure you quickly get up to speed with the industry-specific knowledge you’ll need to succeed. This is a hybrid role based in Wrocław, offering a long-term project with a focus on stability and growth.
Interested? Apply now, and let’s talk about how you can be part of this exciting journey!
responsibilities :
Building and optimizing advanced analytics data pipelines using Python or Scala, ensuring efficient data ingestion and processing
Implementing scalable solutions with big data technologies such as Hadoop, Hive, or Spark to manage and analyze large datasets
Designing secure, high-performance data architectures on the Microsoft Azure platform, utilizing services like Azure Databricks, Azure Data Factory, Azure Storage, and Azure Stream Analytics to build efficient data workflows
Applying best practices in data modeling, security, and provisioning across all layers of the data architecture, including Azure Key Vault, SQL Server, and Azure Functions for secure and optimized data handling
Collaborating with data scientists, engineers, and domain experts to develop proof-of-concept solutions and innovative AI-driven applications, integrating tools like Azure DevOps and GitHub for efficient project management and version control
requirements-expected :
Senior-level experience in data engineering, with expertise in building advanced analytics pipelines
Strong coding skills in Python or Scala, and hands-on experience with SQL
Familiarity with big data technologies such as Hadoop, Hive, or Spark
Solid understanding of data modeling, security best practices, and provisioning concepts
Hands-on experience with a range of Azure technologies, including but not limited to Azure Databricks & Unity Catalog, Azure Data Factory, IoT Hub, Azure DevOps, Azure Key Vault, Azure Functions, SQL Server, and Azure Cybersecurity and Networking configurations