Data Engineer

Data Engineer role at Softeta, designing, implementing, and improving data systems, architectures, and pipelines, with expertise in SQL, Python, Apache Airflow, and cloud platforms.

Requirements

  • 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
  • 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)
  • Diverse and technically challenging projects

Benefits

  • Flexible working hours
  • Hybrid or remote workplace model
  • Flexible schedule
  • Agile/SCRUM environment
  • Technical equipment which you can choose

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