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Azure Data Engineer (ID : 2506)

Azure Data Engineer (ID : 2506)

STAFIDEAmsterdam, NH, nl
30+ dagen geleden
Functieomschrijving

Job Description

As an Azure Data Engineer, you will :

  • Design, develop, and maintain data pipelines using PySpark and Azure Databricks to process and transform large datasets efficiently.
  • Leverage Microsoft Azure Data Factory for data integration and orchestration tasks.
  • Optimize and write complex SQL queries to ensure seamless data storage, transformation, and retrieval processes.
  • Collaborate with cross-functional teams to gather data requirements and deliver tailored solutions.
  • Implement best practices in data engineering, including performance tuning, scalability, and security.

What You Bring to the Table :

  • 6 to 8 years of experience in data engineering, with hands-on expertise in PySpark, Azure Databricks, and SQL.
  • Proficiency in Microsoft Azure, particularly in Azure Data Factory and related tools.
  • A proven ability to build, optimize, and manage scalable data pipelines and workflows.
  • Strong analytical skills with a focus on problem-solving and troubleshooting in cloud environments.
  • A solid understanding of data security, governance, and best practices.

    • You should possess the ability to :

  • Handle complex datasets and implement data engineering solutions in cloud platforms.
  • Work effectively in a collaborative team environment while also managing individual tasks independently.
  • Adapt to new technologies and continuously seek opportunities to enhance technical skills.
  • Communicate technical details clearly to stakeholders with varying levels of technical knowledge.

    • What we bring to the table :

  • Opportunities to work with cutting-edge cloud technologies and big data platforms.
  • A supportive and inclusive environment that encourages professional growth and learning.
  • Challenging projects that enhance your technical and problem-solving skills.
  • Competitive compensation and benefits package aligned with industry standards.

    • Requirements

    As an Azure Data Engineer, you will : Design, develop, and maintain data pipelines using PySpark and Azure Databricks to process and transform large datasets efficiently. Leverage Microsoft Azure Data Factory for data integration and orchestration tasks. Optimize and write complex SQL queries to ensure seamless data storage, transformation, and retrieval processes. Collaborate with cross-functional teams to gather data requirements and deliver tailored solutions. Implement best practices in data engineering, including performance tuning, scalability, and security. What You Bring to the Table : 6 to 8 years of experience in data engineering, with hands-on expertise in PySpark, Azure Databricks, and SQL. Proficiency in Microsoft Azure, particularly in Azure Data Factory and related tools. A proven ability to build, optimize, and manage scalable data pipelines and workflows. Strong analytical skills with a focus on problem-solving and troubleshooting in cloud environments. A solid understanding of data security, governance, and best practices. You should possess the ability to : Handle complex datasets and implement data engineering solutions in cloud platforms. Work effectively in a collaborative team environment while also managing individual tasks independently. Adapt to new technologies and continuously seek opportunities to enhance technical skills. Communicate technical details clearly to stakeholders with varying levels of technical knowledge. What we bring to the table : Opportunities to work with cutting-edge cloud technologies and big data platforms. A supportive and inclusive environment that encourages professional growth and learning. Challenging projects that enhance your technical and problem-solving skills. Competitive compensation and benefits package aligned with industry standards.