Business Data Analyst jobs in United Arab Emirates
Data Engineer: Scalable Pipelines & Data Lakes
DataScience LLC
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Job summary
A data solutions company in Dubai is seeking a Data Engineer to design, build, and maintain data pipelines and infrastructure. This role involves collaborating with data scientists and analysts to ensure data accessibility and reliability. Ideal candidates will have a Bachelor's degree in Computer Science or a related field, along with 1-3 years of experience in data engineering. Proficiency in programming languages such as Python or Java, and familiarity with big data technologies like Hadoop and Spark, are highly desirable.
Qualifications
- 1-3 years of experience in a data engineering role.
- Experience with data warehousing and ETL (extract, transform, load) processes.
- Experience with cloud computing platforms such as AWS, Azure, or Google Cloud Platform.
Responsibilities
- Design, develop, and maintain scalable data pipelines.
- Build and manage data warehouses and data lakes.
- Implement data quality and data governance best practices.
Skills
Education
Tools
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.
- 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.
- Bachelor's degree in Computer Science, Engineering, or a related field
- 1-3 years of experience in a data engineering role
- 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
- Experience with SAS, Kubernetes, or Docker
- Experience with machine learning and artificial intelligence
- Experience with cloud-native development
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.