Hybrid Data Engineer

Posted 2 months ago

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About the role

  • Data Engineer building scalable, high-performance data solutions for Fortune 500 clients at ShyftLabs. Collaborating with cross-functional teams to design and maintain robust data pipelines and systems.

Responsibilities

  • Collaborate with cross-functional teams to define requirements and deliver reliable solutions.
  • Design, develop, and maintain data pipelines and ETL/ELT processes using Python.
  • Build and optimize scalable, high-performance data applications.
  • Develop and manage real-time streaming pipelines using Pub/Sub or Apache Beam.
  • Participate in code reviews, architecture discussions, and continuous improvement initiatives.
  • Monitor, troubleshoot, and optimize production data systems for reliability and performance.

Requirements

  • 5+ years of professional experience in software or data engineering using Python.
  • Strong understanding of software engineering best practices (testing, version control, CI/CD).
  • Proven experience building and optimizing ETL/ELT pipelines and data workflows.
  • Proficiency in SQL and database concepts.
  • Experience with data processing frameworks (e.g., Pandas).
  • Understanding of software design patterns and scalable architecture principles.
  • Experience with cloud platforms (GCP preferred).
  • Knowledge of CI/CD pipelines and Infrastructure as Code tools.
  • Familiarity with containerization (Docker, Kubernetes).
  • Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
  • Excellent problem-solving, analytical, and communication skills.

Benefits

  • We are proud to offer a competitive salary alongside a strong insurance package.
  • extensive learning and development resources.

Job title

Data Engineer

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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