Data Scientist jobs in Saudi Arabia

The Data Ingestion and Pipelines (DIP) team is seeking a highly skilled Software Engineer. The ideal candidate will have a strong background in software development with a focus on building and optimizing data pipelines, ensuring data quality, and integrating data from various sources. As a Software Engineer, you will play a key role in designing, developing, and maintaining scalable data infrastructure that supports our business intelligence and analytics efforts.

Key Responsibilities:

1. Data Pipeline Development: Design, develop, and maintain robust data pipelines and ETL processes to ingest, transform, and load data from diverse sources into our data warehouse.
2. Data Quality and Governance: Implement and monitor data quality checks, ensuring accuracy, consistency, and reliability of data.
3. Optimization: Optimize data processing workflows for performance, scalability, and cost-efficiency.
4. System Monitoring and Maintenance: Monitor and maintain data systems, responding to SEVs or other urgent issues to ensure continuous operations.
5. Collaboration: Work closely with data scientists, analysts, and other engineering teams to understand data requirements and deliver solutions that meet their needs.
6. Documentation: Maintain comprehensive documentation for data pipelines, systems architecture, and processes.

Qualifications:

• Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Relevant coursework or projects in data engineering are a plus.
• Experience: Minimum of 1 year of experience in software development.
• Technical Skills:
• Proficiency in programming languages such as Python, Java, or Scala.
• Knowledge of data modeling and schema design.
• Familiarity with SQL skills and relational databases (e.g., PostgreSQL, MySQL).
• Familiarity with at least one cloud platform (e.g., AWS, Azure, Google Cloud) and its data services.
• Analytical Skills: Strong problem-solving skills with a keen eye for detail and a passion for data.
• Communication: Excellent written and verbal communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
• Team Player: Ability to work effectively in a collaborative team environment, as well as independently.

Preferred Qualifications:

• Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka).
• Familiarity with AWS and its data services (e.g., S3, Athena, AWS Glue).
• Familiarity with data warehousing solutions (e.g., Redshift, BigQuery, Snowflake).
• Knowledge of containerization and orchestration tools (e.g., Docker, ECS, Kubernetes).
• Familiarity with data orchestration tools (e.g., Prefect, Apache Airflow).
• Familiarity with CI/CD pipelines and DevOps practices.
• Familiarity with Infrastructure-as-code tools (e.g., Terraform, AWS CDK).

Company Industry: IT - Software Services

Department / Functional Area: IT Software

Keywords: Software Engineer - Data Ingestion And Pipelines

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