Description

abra R&D is looking for a Data engineer!

We are looking for a Data Engineer to join the team and contribute to AI-related projects.

The role involves handling large volumes of incoming data, performing deep analysis, and collaborating closely with Data Scientists. You will be responsible for designing and developing critical, diverse, and large-scale data pipelines in both cloud and on-premise environments.

Requirements

Minimum 3 years of experience as a Data Engineer – mandatory
3 years of experience working with Object-Oriented Programming (OOP) languages – mandatory
3 years of hands-on experience with Python – mandatory
Hands-on experience with Spark for large-scale data processing – mandatory
At least 2 years of practical experience with AWS, including services such as Athena, Glue, Step Functions, EMR, Redshift, and RDS – strong advantage
Deep understanding of design, development, and optimization of complex solutions handling or processing large-scale data
Familiarity with optimization techniques and working with data partitioning and formats such as Parquet, Avro, HDF5, Delta Lake
Experience working with Docker, Linux, CI/CD tools, and Kubernetes
Experience with data pipeline orchestration tools like Airflow or Kubeflow
Bachelor’s degree in Computer Science, Engineering, Mathematics, or Statistics – mandatory
Understanding of machine learning concepts and workflows
Familiarity with GenAI solutions or prompt engineering – advantage