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 5 years of experience as a Data Engineer – mandatory5 years of experience working with Object-Oriented Programming (OOP) languages – mandatory5 years of hands-on experience with Python – mandatoryHands-on experience with Spark for large-scale data processing – mandatoryAt least 2 years of practical experience with AWS, including services such as Athena, Glue, Step Functions, EMR, Redshift, and RDS – strong advantageDeep understanding of design, development, and optimization of complex solutions handling or processing large-scale dataFamiliarity with optimization techniques and working with data partitioning and formats such as Parquet, Avro, HDF5, Delta LakeExperience working with Docker, Linux, CI/CD tools, and KubernetesExperience with data pipeline orchestration tools like Airflow or KubeflowBachelor’s degree in Computer Science, Engineering, Mathematics, or Statistics – mandatoryUnderstanding of machine learning concepts and workflowsFamiliarity with GenAI solutions or prompt engineering – advantage
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