Big Data Engineer (Remote)

Big Data Engineer | Ziphire.hr | Saudi Arabia

We are seeking an experienced and innovative Big Data Engineer to joinour data analytics team. In this role, you will be responsible fordesigning, implementing, and maintaining our big data infrastructure andprocessing systems.

Responsibilities:

Design and develop scalable big data solutions and data pipelines

Big Data Engineer | Ziphire.hr | Saudi Arabia

We are seeking an experienced and innovative Big Data Engineer to join our data analytics team. In this role, you will be responsible for designing, implementing, and maintaining our big data infrastructure and processing systems.

Responsibilities:

Design and develop scalable big data solutions and data pipelines
Implement and manage distributed computing systems using technologies like Hadoop, Spark, and Kafka
Create and maintain ETL (Extract, Transform, Load) processes for large datasets
Optimize data storage and retrieval systems for performance and scalability
Collaborate with data scientists and analysts to support their data needs
Ensure data security, privacy, and compliance with relevant regulations
Develop and implement data retention policies
Conduct performance tuning and optimization of big data systems
Work on data architecture to support the organization’s analytical needs
Integrate various data sources and APIs into our data ecosystem
Implement and manage cloud-based big data solutions (e.g., AWS, Azure, Google Cloud)

Benefits:

Competitive salary commensurate with experience
Health, dental, and vision insurance
401(k) retirement plan with company match
Flexible work arrangements
Professional development opportunities
Exciting projects at the forefront of big data innovation

Requirements:

Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field
3+ years of experience in big data engineering or similar roles
Strong proficiency in programming languages such as Python, Java, or Scala
Extensive experience with big data technologies (e.g., Hadoop, Spark, Hive, HBase)
Solid understanding of distributed computing principles
Experience with data warehousing and ETL processes
Proficiency in SQL and NoSQL databases
Familiarity with cloud platforms (AWS, Azure, or Google Cloud)
Knowledge of data modeling and architecture design
Experience with stream processing technologies (e.g., Kafka, Flink)
Strong problem-solving and analytical skills
Excellent communication and teamwork abilities