Azure Data Engineer

We are seeking an experienced and motivated Azure Data Engineer to join our team. As a mid-level professional, you will play a critical role in designing, building, and optimizing our data solutions using Microsoft Azures advanced tools and services.

In this role, you will collaborate with cross-functional teams to develop data pipelines, enable seamless data integration, and ensure the reliability and scalability of our data infrastructure. If you thrive in a data-driven environment and have a passion for cloud-based data solutions, we would love to have you on board! "},"comp-m9fqtr2e":{"html":"

• Data Pipeline Development: Design, build, and maintain robust, scalable, and efficient data pipelines using Azure Data Factory, Databricks, and other Azure services.

• Data Integration: Integrate structured and unstructured data from diverse sources into Azure-based data platforms.

• Data Modeling: Develop and maintain data models to support analytical and reporting requirements.

• Optimization: Monitor and optimize data pipelines for performance, scalability, and cost-efficiency.

• Database Management: Administer and manage Azure Synapse Analytics, Azure SQL Database, and other database solutions.

• ETL Processes: Design and implement Extract, Transform, Load (ETL) processes to transform raw data into actionable insights.

• Collaboration: Work closely with data analysts, business teams, and other stakeholders to understand data needs and deliver effective solutions.

• Security and Compliance: Ensure data solutions align with organizational security policies and industry regulations.

• Documentation: Create and maintain comprehensive documentation for data workflows, architectures, and processes. "},"comp-m9frapza4":{"html":"

  Education:
  Bachelor s degree in Computer Science, Data Engineering, Information Technology, or a related field (or equivalent experience).

  
  

  Technical Skills:

  • Strong proficiency in Azure Data Services, including Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and Azure Storage.

  • Experience with big data technologies such as Spark and Hadoop.

  • Proficiency in SQL for querying and managing relational databases.

  • Familiarity with NoSQL databases, such as Cosmos DB or MongoDB.

  • Strong understanding of data integration and transformation using ETL\/ELT methodologies.

  • Hands-on experience with programming languages such as Python, Scala, or Java.

  • Knowledge of data visualization tools like Power BI is a plus.

  • Experience with Data Lake architecture and design.

  • Understanding of security and governance in Azure, including RBAC and Azure Key Vault.

    
    

    Experience:

    • 3-5 years of experience in data engineering or a similar role.

    • Experience working with large datasets and optimizing data pipelines in cloud environments.

    • Hands-on experience in implementing end-to-end data solutions on Azure.

      
      

      Soft Skills:

      • Excellent problem-solving and analytical skills.

      • Strong written and verbal communication abilities.

      • Team player with the ability to work collaboratively and independently. "}}],"