Data Engineer Databricks Azure Mid Senior

1 dzień temu

Wroclaw, Polska MW Consulting Pełny etat

We're looking for specialists open to cooperate on B2B basis, for our customer – Avanade Poland. Avanade website ; Privacy policy This role is available for both specialists open to work remotely (within Poland) or in hybrid mode (offices in Wroclaw and Krakow). Position: As Data Engineer, you will broaden your experience by working in modern projects for various domains and industries. You will extend your skills in a wide range of tools, focusing on tasks such as: Designing, building, and maintaining scalable, efficient, and reliable data pipelines End-to-end development of data architectures and ETL processes Collaborating with data scientists, analysts, and other engineering teams to ensure data integration and optimization Implementing data governance, data quality, and data security best practices across data systems Optimizing performance of data workflows and ensuring the reliability of data solutions Staying up-to-date with the latest developments in data engineering world Mentoring and providing guidance to junior data engineers Possibility to develop yourself in advanced AI technologies Tech stack: During projects you will work with different tools, but the most core tech stack we use is: Databricks, PySpark, Azure cloud and services (Data Lake, SQL Database, Azure Databricks, Data Factory), SQL, Python, MS Fabric Required skills: For this role, you will need commercial experience with: Azure cloud and services (e.g. Azure Data Factory, Data Lake, SQL Database, Azure Databricks) Databricks Python and PySpark SQL Data Engineering concepts such as ETL, data modeling, data warehousing, data governance English (B2) Nice to have: Experience with MS Fabric Experience with Docker/Kubernetes Knowledge of machine learning concepts and frameworks (e.g. MLflow, TensorFlow) Knowledge/experience with LLMs and orchestration frameworks If you want to ask any questions before applying, feel free to reach out via LinkedIn

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