Added
16 days ago
Type
Full time
Salary
Salary not provided

Related skills

azure sql python databricks spark

πŸ“‹ Description

  • Provide technical guidance to data engineers and analysts, promoting engineering best practices
  • Design, structure, and evolve the data platform architecture, defining standards for data modeling
  • Ensure data architecture remains consistent, scalable, maintainable, and aligned with business and
  • Support the prioritization and refinement of technical demands, ensuring backlog items and user
  • Establish and maintain data quality practices, including validation, documentation, and
  • Develop and review data engineering solutions using advanced SQL, Python, PySpark, and Azure-based

🎯 Requirements

  • Extensive experience in data engineering, including technical leadership or mentoring of data
  • Experience working with financial-sector KPIs and banking-related indicators.
  • Advanced SQL skills and strong proficiency in Python and PySpark for developing, reviewing, and
  • Hands-on experience with Azure Databricks, including Spark, PySpark, and Spark SQL.
  • Practical experience using Azure Data Factory (ADF) to orchestrate and manage data pipelines.
  • Strong knowledge of Medallion architecture, including Bronze, Silver, and Gold layers, and

🎁 Benefits

  • Comprehensive health and dental insurance.
  • Meal and food allowances.
  • Childcare assistance.
  • Extended parental leave.
  • Access to fitness and wellness programs through Wellhub and TotalPass.
  • Profit-sharing program (PLR).
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