Data Engineer

Data Engineer

About the role:

We are looking for an experienced Data Engineer to join a Data R&D team working on advanced AI-related projects.

The role involves working with large-scale data systems, designing and building complex data pipelines, and collaborating closely with Data Scientists.

You will work in both cloud and on-prem environments, with a strong focus on scalability, performance, and optimization.

Responsibilities:

•  Design and develop complex ETL/ELT data pipelines
• Work with large-scale data ingestion and processing
• Build and optimize data infrastructure and workflows
• Collaborate with Data Science and Engineering teams
• Work across cloud and on-prem environments

Must-have requirements:

3+ years of experience as a Data Engineer

3+ years of hands-on Python development (OOP)

Strong experience with Apache Spark and large-scale data processing

Bachelor’s degree in Computer Science / Engineering / Mathematics / Statistics

Advantages:

Experience with AWS services (Glue, Athena, Step Functions, EMR, Redshift, RDS, Lambda, SQS/SNS)

Experience with Airflow / Kubeflow

Experience with Docker, Linux, Kubernetes, and CI/CD tools

Experience building data pipelines and reusable ETL frameworks

Experience with Microservices architecture

Experience with model or service deployment (SageMaker – strong advantage)

Familiarity with Kafka and API-based systems

Experience with data formats such as Parquet / Avro / Delta Lake

Exposure to Machine Learning / GenAI concepts

Location: Lod (Kashb)

Work Model: Hybrid (1 day from home)

Full-time position

Think you’re a fit? Send your CV to: [email protected]