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Senior Data Engineer

5 months ago

Riyadh, Saudi Arabia Talent Pal Full time

Senior Data Engineer
- Riyadh, Saudi Arabia

Senior Data Engineer - Riyadh, Saudi Arabia Posted 49 minutes ago

1 open position

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Experience Needed: Not Specified

Education Level: Not Specified

**Job Details**:
Career Level: Not specified

**Salary**: Confidential

**Job Categories**:
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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.

**Requirements**:

- 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**:
We think you'll enjoy working at Mozn. Here's why:

- You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space.
- You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best.
- You can enjoy being in an enabling culture so that you can focus on what you do best.
- You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI. We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves.

This job has been sourced from an external job board.