Big Data Engineer — Build Scalable Spark Pipelines

Müller's Solutions; Riyadh; On-site; SAR 90,000 - 120,000; Full time

Benefits offered by this job

Attractive Package

Family Benefits

Visa

Air Tickets

Job summary

A leading tech company in the Riyadh Region is seeking an experienced Big Data Engineer to design and develop scalable big data solutions. Responsibilities include building data pipelines using Apache Spark and Hadoop, ensuring data quality, and collaborating with various teams. Candidates should have a Bachelor's degree in Computer Science or related fields, along with 3+ years in data engineering. Attractive salary and benefits offered.

Qualifications

• 3+ years of experience as a Big Data Engineer or similar role.
• Proficiency in big data technologies such as Apache Spark, Hadoop, and Kafka.
• Strong coding skills in Java, Scala, or Python.
• Experience with cloud platforms like AWS, Azure, or Google Cloud.

Responsibilities

• Design, build, and maintain scalable data pipelines using big data technologies.
• Collaborate with data scientists and IT teams to deliver solutions.
• Ensure high data quality and integrity.
• Optimize data storage solutions for performance and cost-efficiency.

Skills

Apache Spark

Hadoop

Kafka

Java

Scala

Python

AWS

Azure

Google Cloud

ETL

Education

Bachelor's degree in Computer Science

Bachelor's degree in Information Technology

Tools

Docker

Kubernetes

Job description

A leading tech company in the Riyadh Region is seeking an experienced Big Data Engineer to design and develop scalable big data solutions. Responsibilities include building data pipelines using Apache Spark and Hadoop, ensuring data quality, and collaborating with various teams. Candidates should have a Bachelor's degree in Computer Science or related fields, along with 3+ years in data engineering. Attractive salary and benefits offered.