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3 dni temu
At Capgemini Polska Sp. z o.o., we are seeking a skilled Azure Data Solutions Developer to join our dynamic team of over 400 professionals delivering cutting-edge data solutions.
About Us: We specialize in Cloud & Big Data engineering, building scalable systems for complex datasets across AWS, Azure, and GCP. Our expertise spans the full Software Development Life Cycle (SDLC), utilizing modern data processing tools, advanced programming techniques, and DevOps best practices to create impactful solutions.
Your Profile: As a seasoned professional with at least 3 years of experience in data engineering, including 1+ year working with Azure, you will bring strong skills in Python for data processing and automation. Hands-on experience with one of the following: Databricks, Snowflake, or Microsoft Fabric is required. Excellent communication skills and strong English language skills are essential.
Key Responsibilities:
- Design and implement Azure-based data solutions for large-scale and unstructured datasets.
- Develop and optimize data pipelines using Azure Data Factory, Databricks, or Snowflake.
- Collaborate with solution architects to define and implement best practices in data engineering.
- Ensure data quality, scalability, and security across all Azure-based solutions.
Requirements: Azure, Data engineering, Python, SQL, DevOps, Azure Data Factory, Azure Synapse Analytics, Docker, Kubernetes. Additionally, knowledge of real-time data processing and streaming technologies like Kafka or Spark Streaming is desirable.
What We Offer: A dynamic work environment, opportunities for growth and development, and a competitive compensation package. We also provide training budget, private healthcare, international projects, free parking, and in-house trainings.
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