Data Engineer

2 days ago

الرياض, Saudi Arabia Supertech Group Full time

Do you want to love what you do at work? Do you want to make a difference, an impact, and transform peoples lives? Do you want to work with a team that believes in disrupting the normal, boring, and average?

**Key Responsibilities**:

- Data Integration and ETL Development
- Design and develop complex ETL (Extract, Transform, Load) processes to ensure data quality, consistency, and reliability.
- Optimize data transformation workflows to improve performance and scalability.
- Data Infrastructure and Platform Management:

- Implement and maintain data ingestion, processing, and storage solutions to support the organization's data and analytics requirements.
- Ensure the reliability, security, and availability of the data infrastructure through effective monitoring, troubleshooting, and disaster recovery planning.
- Data Governance and Metadata Management:

- Collaborate with the data governance team to establish data policies, standards, and procedures.
- Develop and maintain a comprehensive metadata management system to ensure data lineage, provenance, and traceability.
- Implement data quality control measures and data validation processes to ensure the integrity and reliability of the data.

**Requirements**:

- 5-6 years of experience as a Data Engineer or a related role in a data-driven organization.
- Proficient in designing and implementing data integration and ETL pipelines using tools such as Apache Airflow, airbyte, or any cloud-based data integration services.
- Strong experience in setting up and managing data infrastructure, including data lakes, data warehouses, and real-time streaming platforms (e.g. Elastic, Google Bigquery, Mongodb).
- Expertise in data modeling, data quality management, and metadata management.
- Proficient in programming languages such as Python, or Java, and experience with SQL.
- Familiarity with cloud computing platforms (e.g., AWS,Google Cloud) and DevOps practices.
- Excellent problem-solving skills and the ability to work collaboratively with cross-functional teams.
- Strong communication and presentation skills to effectively translate technical concepts to business stakeholders.

**Preferred Qualifications**:

- Familiarity with data visualization and business intelligence tools (e.g., Tableau, qlik.etc).
- Project management experience and the ability to lead data integration and infrastructure initiatives.

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