Back to SearchSenior Data Integration Engineer
Data Integration
& 6 others
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We are seeking an experienced Senior Data Integration Engineer to lead the development and optimization of data integration solutions.
In this role, you will collaborate with multiple teams to design workflows that ensure seamless connectivity between systems and support organizational objectives. This is a unique opportunity to work on high-impact projects in a fast-paced and innovative environment.
Responsibilities
- Develop and implement scalable data integration systems that align with business needs
- Partner with internal teams to assess requirements and create integration strategies
- Monitor, troubleshoot, and refine data workflows to enhance reliability and efficiency
- Document integration processes and system configurations in a clear and comprehensive manner
- Ensure data security and compliance with applicable standards and regulations
- Participate in code reviews to uphold development best practices and quality standards
- Keep abreast of new technologies and advancements in the field of data integration
- Drive enhancements in tools, workflows, and methodologies to improve team operations
Requirements
- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field
- Minimum of 3 years of professional experience in data integration or a similar domain
- Strong understanding of SDLC methodologies and their application in practice
- Proven ability to implement SDLC processes in real-world projects
- Familiarity with Agile development methodologies and workflows
- Advanced knowledge of SQL for managing and querying databases
- Experience working with NoSQL database technologies
- Hands-on experience with CI/CD tools and pipeline management
- Excellent English communication skills, both verbal and written, at a B2+ proficiency level or higher
Nice to have
- Experience working with cloud environments like AWS, Azure, or Google Cloud
- Practical knowledge of ETL tools for data extraction, transformation, and loading
- Understanding of API design and integration principles
- Familiarity with big data frameworks such as Hadoop or Spark
- Certifications in relevant fields such as data engineering or cloud technologies