Hybrid Data Engineer

Posted 26 minutes ago

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About the role

  • Data Engineer designing and implementing data ingestion systems for IT consulting firm. Involves managing data architectures and developing ETL/ELT pipelines using modern tools and frameworks.

Responsibilities

  • Design, implement, and continuously improve systems for data ingestion, processing, storage, and sharing
  • Build and optimize data architectures for performance, scalability, and reliability
  • Develop and maintain ETL/ELT pipelines using modern tools and frameworks

Requirements

  • Good understanding and working knowledge of DWH (Sybase/Oracle) and RDBMS (MS SQL)
  • Proven experience with SQL and Python; Other ETL engines are a plus
  • Demonstrated expertise in Apache Airflow is an advantage
  • Good understanding and expertise in Data warehouse management and concepts
  • Exposure to utilize the AI technologies for better productivity
  • Hands-on experience with cloud platforms (AWS, Azure, or GCP)

Benefits

  • Diverse and technically challenging projects;
  • Flexible working hours and hybrid or remote workplace model;
  • Flexible schedule and Agile/SCRUM environment;
  • Technical equipment which you can choose.

Job title

Data Engineer

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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