Data Engineer
Posted 28 days ago · 0 applicants
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The role in plain words
- 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
- 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
Extracted from the job description · kept up to date automatically
Who this suits
Full job description
Original listing · kept for referenceData 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: tomivgi@matchpointit.com
Questions about this role
- This listing did not state a salary. We only show pay when the employer publishes it.
- 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