Senior Data Engineer Job in Intelliswift

Senior Data Engineer

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Job Summary
  • Python Development:
    • Proficiently write, optimize, and maintain Python code for data processing, ETL pipelines, and data transformations.
    • Collaborate with data scientists and analysts to implement data-driven solutions.
  • Azure Expertise:
    • Hands-on experience with various Azure services, including:
    • Azure Storage Accounts
    • Azure Databricks
    • Azure Data Factory
    • Azure Log Analytics
    • Azure Synapse Analytics (formerly SQL Data Warehouse)
    • Azure Event Hub
  • ETL Tools:
    • Familiarity with ETL tools such as:
    • Azure Data Factory (ADF)
    • Pyramid Analytics
    • SQL Server Integration Services (SSIS)
    • Alteryx
  • Data Warehouse Development:
    • Participate in designing, building, and maintaining data warehouses.
    • Optimize data models for performance and scalability.
  • Database Development:
    • Experience with database development using:
    • Microsoft SQL Server
    • Oracle
    • Proficiency in SQL development, including writing complex queries, stored procedures, and triggers.
  • Reporting Tools:
    • Exposure to reporting and visualization tools such as:
    • Pyramid Analytics
    • Power BI
    • Tableau
    • Ability to create insightful dashboards and reports.
    • Bachelor s degree in Computer Science, Information Systems, or related field.
    • 7+ years of relevant experience in data engineering, data warehousing, and ETL.
    • Strong problem-solving skills and attention to detail.
    • Excellent communication and collaboration abilities.
    Experience Required :

    7 to 9 Years

    Vacancy :

    2 - 4 Hires

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