Senior Data Engineer Position

2 days ago


Lahore, Punjab, Pakistan beBee Careers Full time

Data Engineering Role:

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This position requires a seasoned Data Engineer with expertise in PySpark and Azure Data Factory to design, develop, and maintain scalable data pipelines.

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Responsibilities:

  1. Develop and implement efficient data pipelines using PySpark and Azure Data Factory.
  2. Integrate large datasets from multiple sources to support business intelligence requirements.
  3. Work with cross-functional teams to define data requirements and deliver solutions.
  4. Ensure data workflows are optimized for performance, scalability, and cost efficiency.
  5. Monitor and troubleshoot data pipelines to ensure high availability and reliability.
  6. Implement best practices for data governance, security, and compliance.
  7. Utilize Power BI or other visualization tools to support the creation of dashboards and reports (preferred).

Requirements:

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  • Experience: Minimum 5 years of hands-on experience in data engineering.
  • Technical Expertise:">
    • Strong knowledge of PySpark for data processing and transformation.
    • Proficiency in Azure Data Factory for building and managing ETL/ELT workflows.
    • Familiarity with data storage solutions (e.g., Azure Data Lake, SQL databases).
    • Experience with version control systems like Git.
  • Visualization Skills: Knowledge of Power BI or other visualization tools is highly desirable.
  • Problem-Solving: Excellent analytical and problem-solving skills to handle complex data challenges.
  • Communication: Strong verbal and written communication skills to collaborate effectively with cross-functional teams.
  • Preferred Skills:">
    • Understanding of cloud services in Azure (e.g., Azure Synapse, Logic Apps).
    • Familiarity with Agile methodologies and CI/CD pipelines.

Education:

Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.

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