תיאור המשרה
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.