data Infrastructure Engineer Elad Systems | data Division
Elad Systems data Division is seeking a skilled data Engineer to join our growing team, supporting end-to-end AI-driven projects for top-tier clients across industries.
What Youll Do:
Design and build robust, scalable data pipelines for AI/ML applications
Work with modern cloud environments (AWS/Azure/GCP), leveraging tools like Airflow, Kafka, EC2 and Kubernetes
Develop Infrastructure as Code (IAC) with Terraform or equivalent
Support data lakes and DWHs (e.g., Snowflake, BigQuery, Redshift)
Ensure data quality, observability, and system reliability
Elad Systems data Division is seeking a skilled data Engineer to join our growing team, supporting end-to-end AI-driven projects for top-tier clients across industries.
What Youll Do:
Design and build robust, scalable data pipelines for AI/ML applications
Work with modern cloud environments (AWS/Azure/GCP), leveraging tools like Airflow, Kafka, EC2 and Kubernetes
Develop Infrastructure as Code (IAC) with Terraform or equivalent
Support data lakes and DWHs (e.g., Snowflake, BigQuery, Redshift)
Ensure data quality, observability, and system reliability
Requirements:
What You Bring:
3+ years of experience in data engineering or backend development
Proficiency in Python
Hands-on experience with streaming, orchestration, and cloud-native tools
Strong problem-solving skills and an independent, delivery-focused mindset
Experience with Docker and CI/CD platform
Have a solid background working with data warehousing technologies, such as Snowflake, Databricks, Redshift, BigQuery, etc.
Advantage: Experience supporting ML pipelines or AI product development
What You Bring:
3+ years of experience in data engineering or backend development
Proficiency in Python
Hands-on experience with streaming, orchestration, and cloud-native tools
Strong problem-solving skills and an independent, delivery-focused mindset
Experience with Docker and CI/CD platform
Have a solid background working with data warehousing technologies, such as Snowflake, Databricks, Redshift, BigQuery, etc.
Advantage: Experience supporting ML pipelines or AI product development
Why Elad:
Work on diverse, high-impact AI projects in a dynamic and collaborative environment
Access to learning programs, career growth paths, and cutting-edge tech
Hybrid work model and flexible conditions
Join us and help shape the data foundations of tomorrows AI solutions.
This position is open to all candidates.
