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Contract TypeContract TypeFull-time
Workplace typeWorkplace typeOn-site
LocationLocationRiyadh
Join Mozn as a Data Engineer
At Mozn, we are at the forefront of revolutionizing the AI landscape in Saudi Arabia. With a commitment to supporting the digital ecosystem and realizing Vision 2030, we are looking for a talented Data Engineer to enhance our team.

Role Overview
As a Data Engineer, you will be vital in developing our innovative Text-to-SQL product, 'Talk to Your Data'. Your responsibilities will include:
  • Designing, building, and optimizing data pipelines.
  • Collaborating with machine learning engineers to ensure seamless data integration.
  • Maintaining data quality and enhancing system performance.
  • Implementing validation mechanisms and monitoring pipeline performance.

Qualifications
To thrive in this role, you should possess:
  • 35 years of experience in data engineering or similar fields.
  • Strong SQL skills and experience with various relational databases.
  • Proficiency in Python and familiarity with ETL tools.
  • Excellent problem-solving and communication capabilities.

Why Choose Mozn?
Joining Mozn means being part of an exciting journey. We offer:
  • Competitive compensation and top-tier health insurance.
  • A dynamic workplace culture that encourages innovation.
  • Opportunities to work alongside industry experts in AI.

If you are ready to make a significant impact in the field of AI and advance your career, we encourage you to apply today.

Requirements

  • No experience required

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Key Responsibilities:
  • Design, develop, and implement ETL processes using Informatica PowerCenter and Informatica Data Engineering.
  • Maintain and optimize existing ETL workflows and mappings.
  • Ensure data quality and integrity across all ETL processes.
  • Collaborate with data analysts and other stakeholders to understand data requirements.
  • Troubleshoot and resolve data-related issues.
  • Manage and integrate geographical data using Esri and ArcGIS Data Store.
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  • Perform realtime ingestion using CDC from different data stores including MS SQL and MariaDB.

Qualifications:
  • Bachelor’s degree in Computer Science, Information Systems, or a related field.
  • 3+ years of experience with Informatica PowerCenter or similar ETL tools.
  • Experience with SQL and relational databases.
  • Experience in Informatica Cloud or on Premise versions.

Skills:
  • Strong understanding of ETL concepts and best practices, CDC, and Spark.
  • Proficiency in Informatica PowerCenter, Informatica Data Engineering, and SQL.
  • Knowledge of Esri and ArcGIS Data Store.
  • Excellent problem-solving and analytical skills.
  • Experience with Denodo is preferred.

Preferred Qualifications:
  • Experience in data warehousing and big data technologies.
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breifcase0-1 years

locationRiyadh

23 days ago