Senior Data Engineer

3 weeks ago


London, United Kingdom Silicon Logic UK Ltd. Full time

Location : London, Must have SC Clearance Certificate

Mode: Hybrid

Salary: Competitive

Overview: We are seeking a talented Data Engineer with expertise in Azure to join our team. The ideal candidate will be responsible for developing data pipelines, building and maintaining data warehouses and data lakes, implementing data integration and transformation solutions, ensuring data quality and integrity, and optimizing data performance.

Responsibilities:

  • Develop data pipelines for ETL/ELT (Extract, Transform, Load) processes using Azure technologies.
  • Build and maintain scalable and efficient data warehouses and data lakes on Azure platforms.
  • Implement data integration and transformation solutions to enable seamless data flow across systems and applications.
  • Ensure data quality and integrity by implementing data validation and cleansing processes.
  • Perform performance tuning and optimization of data pipelines and storage solutions to enhance efficiency and reduce latency.

Requirements:

  • Bachelor's degree in Computer Science, Engineering, or related field.
  • Proven experience as a Data Engineer with a focus on Azure technologies.
  • Strong proficiency in developing data pipelines using Azure Data Factory, Azure Databricks, or similar tools.
  • Experience in building and maintaining data warehouses and data lakes on Azure, utilizing services such as Azure Synapse Analytics, Azure Data Lake Storage, etc.
  • Expertise in implementing data integration and transformation solutions using Azure services like Azure Data Factory, Azure Logic Apps, etc.
  • Familiarity with data quality management concepts and techniques.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration skills.

Preferred Qualifications:

  • Azure certification(s) such as Azure Data Engineer Associate or Azure Solutions Architect Expert.
  • Experience with other cloud platforms such as AWS or Google Cloud Platform.
  • Knowledge of big data technologies such as Hadoop, Spark, etc.

If you are passionate about leveraging Azure technologies to drive data-driven insights and solutions, we encourage you to apply for this exciting opportunity. Join us in shaping the future of data engineering with Azure



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