Transformative Senior Data Professional

1 week ago

Galway, Galway, Ireland beBeeData Full time €80,000 - €100,000
Senior Data Engineer

About the Role:

We are seeking an experienced and skilled professional who can create a lasting impact through data-driven solutions. The ideal candidate will have a passion for working with complex data systems, designing scalable architectures, and implementing efficient workflows.

Key Responsibilities:

  • Design, develop, and maintain robust data pipelines using open source and cloud-based services.
  • Orchestrate data workflows to ensure seamless integration and automation.
  • Optimize database performance and manage data warehouses to meet business needs.
  • Implement data transformation workflows to enhance data quality and integrity.
  • Collaborate with cross-functional teams to understand data requirements and deliver high-quality solutions.
  • Ensure data security and governance across all platforms.
  • Develop and maintain documentation for data engineering processes and systems.
  • Monitor and troubleshoot data pipelines to ensure reliability and performance.
  • Implement continuous integration and deployment (CI/CD) pipelines to automate testing and deployment.
  • Mentor and guide team members to improve skills and knowledge.

Required Skills and Qualifications:

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • 5+ years of experience in data engineering or a related role.
  • Strong proficiency in Python and SQL programming languages.
  • Experience with NoSQL databases, Amazon Redshift, and DynamoDB.
  • Hands-on experience with cloud-based architectures and software stacks.
  • Deep understanding of large-scale enterprise system architecture.
  • Proficiency in Linux server environments.
  • Experience with containerization technologies such as Docker.
  • Hands-on experience with data transformation tools like DBT.
  • Experience with workflow orchestration tools like Prefect.
  • Strong understanding of ETL/ELT processes, data warehousing concepts, and best practices.
  • Experience with CI/CD pipelines and version control systems like Git.
  • Excellent problem-solving skills and attention to detail.
  • Strong experience modeling machine behavioral data.
  • Understanding of data governance and security principles.
  • Understanding of infrastructure-as-code concepts.
  • Experience with monitoring and alerting systems.
  • Strong understanding of big data processing techniques.
  • Proficient with machine learning techniques.
  • Experience with statistical languages and data mining tools.

The Ideal Candidate:

We are looking for a highly motivated and experienced professional who is passionate about working with data. The successful candidate will have a strong background in data engineering, excellent problem-solving skills, and a keen eye for detail.

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