Job Summary: Entry-Level Data Engineer

responsibilities

1. Data Modeling and Design:
• Assist in designing, implementing, and maintaining data models to support business requirements.
• Collaborate with senior data engineers to optimize database performance.

2. ETL Development:
• Contribute to the development of Extract, Transform, Load (ETL) processes for efficient data integration.
• Implement data pipelines to move and transform data between systems.

3. Data Quality and Governance:
• Participate in data quality assessments and implement strategies for data governance.
• Work with the team to ensure data integrity and accuracy.

4. Database Management:
• Assist in the management of databases, including schema design, indexing, and performance tuning.
• Collaborate with cross-functional teams to understand data requirements.

5. Documentation:
• Maintain clear and concise documentation of data processes, systems, and workflows.
• Document changes to data models and databases for future reference..

We are seeking a highly motivated and detail-oriented individual to join our team as an Entry-Level Data Engineer. This is an exciting opportunity for a recent graduate or someone with limited professional experience to contribute to the development, implementation, and maintenance of our data infrastructure. The ideal candidate should have a strong foundation in data-related technologies and a passion for working with large datasets.

Benefits

If you are a passionate and analytical individual with a desire to kick-start your career in data engineering, we encourage you to apply. Please submit your resume outlining your qualifications and interest in the position. Please mention the Emirate you live in and whether you are willing to relocate if needed.

Qualifications

1. Education:
• Bachelor's degree in Computer Science, Information Technology, or a related field.

2. Technical Skills:
• Understanding of relational database concepts and SQL.
• Familiarity with one or more programming languages, such as Python, Java, or Scala.

3. Data Tools:
• Basic knowledge of data integration tools (e.g., Apache NiFi, Talend).
• Exposure to data warehousing solutions (e.g., Snowflake, Amazon Redshift) is a plus.

4. Problem-Solving Skills:
• Strong analytical and problem-solving abilities.
• Ability to troubleshoot and debug data-related issues.

5. Collaboration:
• Ability to work collaboratively in a team environment.
• Excellent communication skills to interact with team members and stakeholders.

• Competitive salary
• Health insurance
• Opportunities for professional development
• Exposure to cutting-edge technologies in the data engineering field