Job Summary:
We are looking for a talented and experienced Data Engineer to join our team. As a Data Engineer, you will be responsible for designing, building, and maintaining our data pipelines and infrastructure. You will work closely with our data scientists and analysts to ensure that our data is accessible, reliable, and secure.
Responsibilities:
- Design, develop, and maintain scalable data pipelines.
- Build and manage data warehouses and data lakes.
- Implement data quality and data governance best practices.
- Work with data scientists and analysts to support their research and development projects.
- Collaborate with other engineers to build and maintain our data infrastructure.
Qualifications:
- Bachelor's degree in Computer Science, Engineering, or a related field
- 3-5 years of experience in Data Warehousing and Data Integration projects, with exposure to ETL processes, data pipelines, and data quality management.
- practical experience working within large scale data environments and demonstrate strong analytical and problem-solving capabilities.
- Hands-on experience in SAS, including development and optimization of SAS programs.
- Strong programming skills in Python, Java, or Scala
- Experience with big data technologies such as Hadoop, Spark, and Kafka
- Experience with cloud computing platforms such as AWS, Azure, or Google Cloud Platform
- Experience with database systems such as SQL, PostgreSQL and Cassandra
- Experience with data warehousing and ETL (extract, transform, load) processes
- Excellent problem-solving and analytical skills
- Strong communication and teamwork skills
Bonus Points:
- Experience with SAS, Kubernetes, or Docker
- Experience with machine learning and artificial intelligence
- Experience with cloud-native development
Skills Required
- Bachelor's degree in Computer Science, Engineering, or a related field
- 3-5 years of experience in Data Warehousing and Data Integration projects
- Hands-on experience in SAS
- Strong programming skills in Python, Java, or Scala
- Experience with big data technologies such as Hadoop, Spark, and Kafka
- Experience with cloud computing platforms such as AWS, Azure, or Google Cloud Platform
- Experience with database systems such as SQL, PostgreSQL and Cassandra
- Experience with data warehousing and ETL processes
What We Do
As a leading AI and Data Analytics provider in the MENA region, DataScience Middle East specializes in transforming raw data into actionable insights, enabling governments, financial institutions, and telecommunication companies to drive innovation and achieve meaningful business outcomes. Founded in 2015, our expertise lies in developing cutting-edge AI solutions and fostering a deep mastery of analytics. With a focus on delivering impactful, scalable technologies, we are committed to helping organizations harness the power of data to make informed decisions that shape the future. Our core offerings include: 1. Advanced AI & Machine Learning Solutions: Custom-built to address specific industry challenges. 2. Data Management & Analytics: Enabling organizations to unlock the full potential of their data. 3. Compliance & Regulatory Solutions: Ensuring organizations meet industry standards and regulatory requirements, including data privacy, financial compliance, and AI governance. We help businesses navigate complex regulatory landscapes by implementing secure, transparent, and ethical AI and data management practices. 4. End-to-End Consulting: Tailored advisory services that guide clients through every step of their data transformation journey. At DataScience Middle East, we pride ourselves on driving digital transformation across various industries by providing innovative, reliable, and highly efficient AI-driven solutions. With our dedicated team and strong partner network, we empower our clients to excel in a rapidly evolving technological landscape.
