Data Engineer
Posted Jun 17 · 0 applicants
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The role in plain words
The role involves designing, building, and maintaining scalable data pipelines and platforms using Elasticsearch, Databricks, and Kafka. You will write optimized code to handle large volumes of data, implement data quality checks, and collaborate with cross-functional teams to resolve pipeline issues.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- 3+ years of experience in data engineering
- Elasticsearch
- Cloud technologies (such as AWS, Azure, or GCP)
- Kafka
- Container environment such AKS\EKS\OpenShift
- High security clearance
Extracted from the job description · kept up to date automatically
Who this suits
This role suits data engineers with at least 3 years of experience who have strong expertise in Elasticsearch, cloud technologies, Kafka, and Databricks. It is less ideal for those without a background in distributed systems, ETL processes, or programming languages like Python, Java, or Scala.
Full job description
Original listing · kept for referenceWe 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.
Questions about this role
- This listing did not state a salary. We only show pay when the employer publishes it.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field, 3+ years of experience in data engineering, Elasticsearch, Cloud technologies (such as AWS, Azure, or GCP), Kafka