Data Engineer

Description

We Are KPMG Israel.

KPMG Israel is more than a professional services firm, we are a community of people driven by impact.

As part of a leading global network, we partner with the most influential organizations to drive large-scale business and technology transformation, combining strategic thinking, innovation, and advanced technologies.

Guided by integrity, excellence, and forward thinking, we help organizations navigate complexity and create real change.

Our people are at the center, with space to lead, experiment, and grow in a dynamic and collaborative environment that connects personal development with meaningful impact on the future of business and society.

We are seeking a skilled and motivated Data Engineer with expertise in Elasticsearch, cloud technologies, and Kafka. As a data engineer, you will be responsible for designing, building and maintaining scalable and efficient data pipelines that will support our organization's data processing needs.

The role will entail

• Design and develop data platforms based on Elasticsearch, Databricks, and Kafka
• Build and maintain data pipelines that are efficient, reliable and scalable
• Collaborate with cross-functional teams to identify data requirements and design solutions that meet those requirements
• Write efficient and optimized code that can handle large volumes of data
• Implement data quality checks to ensure accuracy and completeness of the data
• Troubleshoot and resolve data pipeline issues in a timely manner

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• 3+ years of experience in data engineering
• Expertise in Elasticsearch, cloud technologies (such as AWS, Azure, or GCP), Kafka and Databricks
• Proficiency in programming languages such as Python, Java, or Scala
• Experience with distributed systems, data warehousing and ETL processes
• Experience with Container environment such AKS\EKS\OpenShift is a plus
• high security clearance is a plus

The position is open for all genders as well as people with disabilities.