Data Engineer: Build Scalable Pipelines & Data Lakes

Confidential Company; Dubai; On-site; AED 240,000 - 420,000; Full time

Job summary

Confidential Company in Dubai seeks a data engineer to design and implement robust data pipelines, build and optimize data warehouses and data lakes, and collaborate with data scientists and analysts to translate requirements into scalable solutions. The role focuses on delivering reliable data infrastructure for analytics while ensuring data accuracy and availability.

You will monitor pipeline performance, troubleshoot bottlenecks, and contribute to data governance.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field; a Master's degree is a plus.
• 3-5 years of hands-on experience in data engineering or a related role.
• Proficiency in programming languages such as Python, Java, or Scala, with a focus on data manipulation and processing libraries.
• Familiarity with SQL and NoSQL databases, including experience with database design and optimization techniques.

Responsibilities

• Design and implement robust data pipelines that can handle diverse data sources and large volumes efficiently, ensuring data accuracy and availability.
• Develop and maintain data warehouses and data lakes, optimizing them for analytical queries and reporting needs.
• Collaborate with data scientists and analysts to understand their data requirements, translating them into scalable data solutions.
• Monitor and troubleshoot data pipeline performance, proactively identifying bottlenecks and implementing improvements.

Skills

Python

Java

Scala

Education

Bachelor's degree in Computer Science or related field

Master's degree a plus

Tools

SQL

NoSQL databases

Job description

Confidential Company in Dubai seeks a data engineer to design and implement robust data pipelines, build and optimize data warehouses and data lakes, and collaborate with data scientists and analysts to translate requirements into scalable solutions. The role focuses on delivering reliable data infrastructure for analytics while ensuring data accuracy and availability.

You will monitor pipeline performance, troubleshoot bottlenecks, and contribute to data governance.