Data Engineer

La Concorde Marocaine; United States; Hybrid; USD 110,000 - 150,000; Full time

Benefits offered by this job

Competitive salary

Performance-based incentives

Professional development

Flexible/hybrid work

Job summary

La Concorde Marocaine is seeking a data engineer to design, develop, and maintain scalable data pipelines and architectures that support analytics and BI initiatives. You will integrate data from multiple sources, implement ETL processes, and collaborate with analysts and scientists to define data requirements and ensure quality.

The role offers a flexible or hybrid working arrangement. Candidates should have a strong background in SQL, Python, data warehousing, and cloud platforms, with

Qualifications

• Bachelor's degree in CS, data engineering, or related field.
• Proven experience with SQL, Python, and data pipeline frameworks.
• Strong understanding of data warehousing concepts and cloud platforms.
• Experience with big data technologies (Spark, Hadoop, or Kafka) is an advantage.

Responsibilities

• Design, develop, and maintain scalable data pipelines and architectures.
• Integrate data from multiple sources and ensure data quality.
• Collaborate with data analysts, scientists, and stakeholders to define data requirements.
• Implement ETL processes for structured and unstructured data.
• Monitor, troubleshoot, and document data systems and processes.

Skills

SQL

Python

Data pipeline frameworks

Data warehousing concepts

Cloud platforms

Big data technologies

Problem-solving

Analytical skills

Communication skills

Team collaboration

Education

Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field

Job description

Design, develop, and maintain scalable data pipelines and architectures to support analytics and business intelligence initiatives.

Integrate data from multiple sources, ensuring consistency, reliability, and data quality.

Collaborate with data analysts, scientists, and other stakeholders to define data requirements and optimize data workflows.

Implement ETL (Extract, Transform, Load) processes for structured and unstructured data.

Monitor and troubleshoot data systems to ensure performance, security, and efficiency.

Document data processes, system configurations, and best practices.

Requirements

• Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field.
• Proven experience with SQL, Python, and data pipeline frameworks.
• Strong understanding of data warehousing concepts and cloud platforms (e.g., AWS, Azure, or Google Cloud).
• Experience with big data technologies such as Spark, Hadoop, or Kafka is an advantage.
• Excellent problem-solving, analytical, and communication skills.
• Ability to work both independently and collaboratively in a fast-paced environment.

Benefits

• Competitive salary and performance-based incentives.
• Opportunities for professional development and technical training.
• Innovative and collaborative work culture.
• Flexible or hybrid working arrangements.