About the job

We’re hiring a Data Engineer to join a Data R&D team working on advanced AI and large-scale data projects.

Elad Software Systems specialize in managing and executing end-to-end projects and offer business solutions in order to help companies strengthen their relationship with end-client and improve the company’s customer experience using impeccable innovative and quality solutions.

We work through three different channels:

Data | CRM | Digital

Our Advantage – As a project driven company that had worked in all possible fields in the market, we’re always at the forefront of technology, employ all methods and know all the available tools. In fact, this allows us to create relevant and tailor-made solutions that can answer any need or challenge you might encounter on your way to reach your business goals.

Our Team – We know exactly why we call our experts the Dream Team; each and every personnel in our staff is a professional in their field, who takes you on a joint process and runs your project from end-to-end. It is important to us to keep researching the field, monitor, process and check in order to produce effective results.

The role includes designing and developing complex data pipelines, ingesting and processing large volumes of data, and collaborating closely with Data Scientists in both cloud and on-prem environments.

Requirements:

• At least 3 years of experience as a Data Engineer
• Strong hands-on experience with Python, OOP, and complex ETL processes
• Practical experience with Spark and large-scale data processing
• Cloud experience, preferably AWS
• Experience with data formats and partitioning techniques such as Parquet, Avro, HDF5, or Delta Lake
• Familiarity with Docker, Linux, CI/CD, Kubernetes, Airflow, or Kubeflow
• Bachelor’s degree in Computer Science, Engineering, Mathematics, or Statistics
• Understanding of Machine Learning concepts and workflows
• Experience with AWS Glue, Step Functions, Lambda, Redshift, Kafka, APIs, Microservices, SageMaker, or GenAI solutions is a significant advantage.