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Khibraty

IT Enterprise Analytics Specialist

Data EngineeringConfirmed live in the last 24 hours
Full-timeAmman, JordanNo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree in data science, computer science, data engineering, or a relevant field is required.
  • One to three years of business intelligence development experience is required.
  • Three or more years of cloud-based business intelligence development experience is required.
  • Excellent verbal and written English communication is required.
  • Ability to analyze and understand complex data is required.
  • Ability to implement modules with security and authorization frameworks is required.
  • Strong problem-solving skills are required.
  • Strong proficiency in Python for data engineering and analytics use cases is required.
  • Experience building reusable, testable, and maintainable data transformation code is required.
  • Strong knowledge of SQL and analytical query optimization is required.
  • Solid understanding of data warehousing concepts, including ETL/ELT and fact and dimension modeling, is required.
  • Experience designing star and snowflake schemas for analytics and reporting is required.
  • Understanding of semantic layers and metric definitions for business intelligence consumption is required.
  • Understanding of scalable data architectures, including lakehouse, warehouse, and streaming versus batch, is required.
  • Knowledge of analytical calculations, key performance indicators, and performance optimization for reporting workloads is required.
  • Working knowledge of CI/CD concepts applied to data and analytics projects is required.
  • Experience using version control systems such as Git, Perforce, or Apache Subversion to manage data, code, and artifacts is required.
  • Familiarity with deployment pipelines and environment promotion for data solutions is required.

Responsibilities

  • Design and maintain scalable data pipelines to ingest, transform, and serve structured and semi-structured data.
  • Develop robust data transformation and processing logic using Python and distributed data processing frameworks.
  • Design and maintain analytical data models, including dimensional models and fact/dimension tables, optimized for reporting and analytics.
  • Ensure data quality, reliability, performance, and consistency across the data platform.
  • Translate business and analytical requirements into efficient and maintainable data solutions.
  • Build and maintain semantic and analytical models that support enterprise reporting and self-service analytics.
  • Collaborate with analysts and business users to deliver trusted datasets and metrics.
  • Support reporting and dashboarding solutions by providing optimized data structures and calculations.
  • Produce clear technical documentation covering data models, transformation logic, and pipeline designs.
  • Collaborate with cross-functional teams, including data analysts, data engineers, and business stakeholders.

Desired Qualifications

  • Experience working with cloud-based data platforms and data lakes, preferably Azure, is preferred.
  • Experience supporting business intelligence and reporting tools through well-designed datasets and models, preferably Power BI, is preferred.

About the Company

Khibraty

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