Hybrid Data Engineer

Posted 4 weeks ago

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About the role

  • Responsible for designing, developing, and maintaining robust, scalable ETL/ELT data pipelines
  • Ensuring efficient integration across multiple data sources (APIs, relational and NoSQL databases, and cloud platforms)
  • Working on performance optimization and reliability of data flows
  • Implementing advanced error handling and debugging
  • Deploying and maintaining pipelines in production environments
  • Ensuring operational quality and stability
  • Strong technical profile with a focus on efficiency and expertise in performance tuning of scripts and queries for large datasets.

Requirements

  • 5+ years of experience with multi-source integrations (APIs, databases, cloud platforms)
  • ETL/ELT pipelines, advanced error handling and debugging, and deployment experience
  • Experience with Python and performance tuning for large datasets
  • Soft skills: analytical, detail-oriented, and performance-driven
  • Strong troubleshooting skills
  • Technical autonomy and good communication to discuss solutions with technical and business stakeholders.

Benefits

  • Meal/Food Allowance (Flash Card)
  • Health Insurance
  • Home Office Allowance
  • Commuter allowance or Fuel Allowance (when onsite)
  • Learning incentive programs (Udemy)
  • Affordable corporate English classes.

Job title

Data Engineer

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

No Education Requirement

Tech skills

Location requirements

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