Offer summary

Qualifications:

Bachelor's or Master's degree in Computer Science, Engineering, or related field., At least 3 years of experience in data engineering., Expertise in Elasticsearch, cloud technologies (AWS, Azure, GCP), Kafka, and Databricks., Proficiency in programming languages such as Python, Java, or Scala..

Key responsibilities:

Design and develop data platforms using Elasticsearch, Databricks, and Kafka.

Build and maintain scalable, reliable data pipelines.

Collaborate with teams to identify data requirements and design solutions.

Implement data quality checks and troubleshoot pipeline issues.

Job description

Description

We are KPMG’s technology arm in Israel. KPMG delves headfirst into the power of emerging technologies and scientific breakthroughs to craft solutions, projects, and products for companies facing complex business challenges in today’s continuously changing world. By uniting groundbreaking technology with industry expertise, we are able to harness the potential of cloud, AI, ML, digital, and cyber to design and implement top-of-the-line tailored solutions.

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.

Required profile