ื“ืœื’ ืœืชื•ื›ืŸ ื”ืจืืฉื™

Data Engineer

Logica-ITืœื•ื“, ืžื—ื•ื– ื”ืžืจื›ื–, ื™ืฉืจืืœืœื ืฆื•ื™ืŸFull-timeื“ืจื’ื”: ืœื ืฆื•ื™ืŸ

ืคื•ืจืกื ืืชืžื•ืœ ยท 0 ืžื•ืขืžื“ื™ื

ืฉื›ืจ ืœื ืฆื•ื™ืŸ ื‘ืžืฉืจื” ื–ื•

ืฉืžื™ืจื”, ื”ื’ืฉื” ืื• ื‘ื“ื™ืงืช ื”ืชืืžื”. ืคืชื™ื—ืช ื—ืฉื‘ื•ืŸ ื—ื™ื ื ืœื•ืงื—ืช ื›ืžื” ืฉื ื™ื•ืช.

ืชื•ื‘ื ืช Willbi
ื—ื•ื‘ื”
  • At least 3 years of experience as a Data Engineer
  • 3 years of experience with Object-Oriented Programming (OOP) languages
  • 3 years of experience with Python
  • Spark
  • BSc in Computer Science, Engineering, Mathematics, or Statistics
ื™ืชืจื•ืŸ
  • AWS services (Athena, Glue, Step Functions, EMR, Redshift, RDS, Lambda, SQS/SNS)
  • Designing, developing, and optimizing complex solutions for transferring/processing large data volumes
  • Optimization techniques and working with partitions across data formats such as Parquet, Avro, HDF5, Delta Lake
  • Docker, Linux, CI/CD tools, and Kubernetes
  • Data pipeline tools such as Airflow, Kubeflow

ื—ื•ืœืฅ ืžืชื™ืื•ืจ ื”ืžืฉืจื” ยท ืžืชืขื“ื›ืŸ ืื•ื˜ื•ืžื˜ื™ืช

ืชื™ืื•ืจ ื”ืžืฉืจื” ื”ืžืœื

ื”ืžืฉืจื” ื”ืžืงื•ืจื™ืช ยท ื ืฉืžืจ ืœืขื™ื•ืŸ

We're Hiring: Data Engineer to Join Our AI Team!

๐Ÿ“ Lod | Hybrid - 1 day WFH

Join a team building the data infrastructure behind cutting-edge AI projects! You'll be responsible for ingesting large volumes of new data, gaining deep understanding and insight into it in close collaboration with Data Scientists, and designing and developing critical, large-scale data processes - both in cloud and on-prem environments.

Requirements:

โœ… At least 3 years of experience as a Data Engineer - required

โœ… 3 years of experience with Object-Oriented Programming (OOP) languages - required

โœ… 3 years of experience with Python - required

โœ… Hands-on experience with Spark for large-scale data - required

โœ… BSc in Computer Science, Engineering, Mathematics, or Statistics - required

Nice to have:

โญ At least 2 years of hands-on experience with AWS services such as Athena/Glue/Step Functions/EMR/Redshift/RDS - significant advantage

โญ Deep understanding of designing, developing, and optimizing complex solutions for transferring/processing large data volumes

โญ Understanding of optimization techniques and working with partitions across data formats such as Parquet, Avro, HDF5, Delta Lake

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

โญ Experience with data pipeline tools such as Airflow, Kubeflow

โญ Understanding of machine learning concepts and processes

โญ Familiarity with GenAI solutions / prompt engineering - advantage

Team notes:

โญ AWS experience with core services - Glue, Step Functions, Lambda, SQS/SNS; familiarity with Redshift and Kafka, and working with APIs is a significant advantage. Candidates without any cloud environment experience won't be relevant.

โญ Extensive experience writing functional Python code and complex ETL processes, including building generic frameworks/templates for managing ETL workflows (controls, generic process management, parameterization, etc.)

โญ Experience deploying services - significant advantage; experience deploying models on SageMaker - especially significant advantage

โญ Experience writing microservices - significant advantage

ืื•ื“ื•ืช Logica-IT
ืคืจื•ืคื™ืœ ื”ื—ื‘ืจื” ยท ื‘ืงืจื•ื‘

ื‘ื™ืงื•ืจื•ืช ืขื•ื‘ื“ื™ื ยท ื‘ืงืจื•ื‘ืขื•ื“ ืžืฉืจื•ืช ื‘-Logica-IT

ืฉืืœื•ืช ืขืœ ื”ืžืฉืจื”

  • ื”ืžืฉืจื” ืœื ืฆื™ื™ื ื” ืฉื›ืจ. ืื ื—ื ื• ืžืฆื™ื’ื™ื ืฉื›ืจ ืจืง ื›ืฉื”ืžืขืกื™ืง ืžืคืจืกื ืื•ืชื•.
ื“ื•ืžื•ืช ื•ืงืฉื•ืจื•ืช
Logica-IT
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