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Senior Data Engineer

Mozn

Mozn

Data Science
Riyadh Saudi Arabia
Posted 6+ months ago

Mozn is a rapidly growing technology firm revolutionizing the field of Artificial Intelligence and Data Science headquartered in Riyadh, Saudi Arabia and it’s working to realize Vision 2030 with a proven track record of excellence in supporting and growing the tech ecosystem in Saudi Arabia and the GCC region. Mozn is the trusted AI technology partner for some of the largest government organizations, as well as many large corporations and startups.

We are in an exciting stage of scaling the company to provide AI-powered products and solutions both locally and globally that ensure the growth and prosperity of our digital humanity. It is an exciting time to work in the field of AI to create a long-lasting impact.

We are seeking a Senior Data Engineer to join our team. As a Senior Data Engineer, you will be responsible for designing and maintaining efficient ETL pipelines, performing data integrations, optimizing SQL queries, analyzing large datasets, ensuring data quality, and managing data migration.

As a Senior Data Engineer, your daily workload might include:

  • Design and maintain efficient ETL (Extract, Transform, Load) pipelines using technologies such as Informatica and Denodo.
  • Perform data integrations by consolidating data from various sources into a unified format.
  • Utilize advanced SQL skills to optimize complex SQL queries for efficient data retrieval and manipulation.
  • Collect, analyze, and interpret large datasets from various sources.
  • Conduct feature engineering to enhance machine learning models by selecting and transforming relevant data features.
  • Evaluate and enhance data quality, ensuring accuracy, completeness, and reliability of data.
  • Oversee data migration projects, ensuring smooth transfer of data between systems or platforms.
  • Utilize BI tools like Tableau for data visualization and reporting, transforming raw data into actionable insights.
  • Manage and maintain Data Warehousing and Data Lake environments, particularly using Cloudera and Hive.