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Senior Data Integration Engineer

Remote in Colombia,
& 4 others

We are looking for a Senior Data Integration Engineer with extensive expertise in designing and optimizing data integration systems.

In this position, you will work closely with cross-functional teams to establish efficient workflows that seamlessly connect systems and support business goals. This role offers the chance to contribute to impactful projects in a fast-moving and innovative environment.

Responsibilities
  • Create and deploy data integration solutions that meet organizational requirements
  • Collaborate with teams across the organization to define needs and develop integration plans
  • Monitor and improve data workflows to ensure reliability and optimal functioning
  • Prepare and maintain detailed documentation for integration processes and system designs
  • Maintain data security and ensure adherence to regulatory and compliance standards
  • Participate in code reviews to ensure high-quality development practices
  • Stay updated on emerging trends and technologies relevant to data integration
  • Contribute to the refinement of tools, workflows, and processes to enhance team performance
Requirements
  • Bachelor's or Master's degree in Computer Science, Information Technology, or a related area
  • At least 3 years of professional experience in data integration or related roles
  • Comprehensive understanding of SDLC methodologies and their practical use in projects
  • Proven experience implementing SDLC processes in real-world applications
  • Strong knowledge of Agile development workflows and practices
  • Advanced skills in SQL for database querying and management
  • Experience with NoSQL databases and related technologies
  • Practical expertise in CI/CD tools and pipeline setups
  • High-level English proficiency in both written and spoken communication, at B2+ or higher
Nice to have
  • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud
  • Hands-on experience with ETL tools for data extraction, transformation, and loading
  • Knowledge of API development and integration concepts
  • Exposure to big data technologies like Hadoop or Spark
  • Relevant certifications in areas such as data engineering or cloud computing