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    Senior Data Engineer - Riyadh, المملكة العربية السعودية - Mozn

    Mozn
    Mozn Riyadh, المملكة العربية السعودية

    تم العثور عليها في: Talent SA C2 - منذ 4 أيام

    Mozn background
    دوام كامل
    وصف
    Senior Data Engineer
    On-site Riyadh, Riyadh Province, Saudi Arabia Focal Full time
    Description

    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 play a pivotal role in developing machine learning (ML) models and systems to manage diverse financial risks and challenges.

    Your expertise in data engineering and analytics will drive our organization's success in areas such as Open Banking, Credit Scoring, Financial Fraud Detection, and more.

    As a Senior Data Engineer, your daily workload might include:
    Collect, analyze, and interpret large datasets from various sources. Collaborate with the Data Scientist team to provide data insights for ML model development. Develop, deploy, and monitor ML models and systems, ensuring their efficiency, accuracy, and reliability. Design and maintain efficient ETL pipelines using technologies such as Apache Spark and Snowflake. Influence architecture and database design decisions. Continuously evaluate and improve data engineering processes, identifying opportunities for automation, efficiency, and scalability. Collaborate with cross-functional teams, including Data Engineers, Product Managers, and stakeholders, to ensure successful implementation of data-driven initiatives.

    Stay up-to-date with the latest trends and advancements in data engineering, ML models, and FinTech industry practices, and apply this knowledge to enhance our data capabilities.

    Requirements
    Our target profile is candidates with...
    BS or MS in Data/Computer Science or a related field. +5 years of experience with cloud data infrastructure. Proficiency in cloud data infrastructure, such as AWS or OCI. In-depth knowledge of containerization and orchestration (e.g., Docker, Kubernetes). Proficient in data analytics and intelligence, emphasizing the automation of data mapping, collection, aggregation, transformation, and visualization processes. Extensive expertise in preparing and merging diverse datasets for machine learning models used in classification, estimation, and segmentation. Proficiency in Python, SQL, and data manipulation across SQL and NoSQL databases. Familiarity with Linux fundamentals. Experience with data analysis and visualization tools (e.g., PowerBI, Tableau). Strong ETL development skills and adherence to best practices. Proficiency in observability and alerting technologies (e.g., Grafana, Prometheus). Experience in automating deployment in CI/CD pipelines. Familiarity with data lakes and data mesh architectures. Strong verbal and written communication skills.
    Must be Humble, Excellent, Relevant with a high sense of Ownership.
    Benefits

    Desired Candidate Profile




    Education:
    Any Graduation()


    Gender:
    nm


    Nationality:
    Any Nationality
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