We are looking for a highly skilled Senior Data Integration Engineer to take a leading role in designing and refining data integration processes.
You will collaborate with various teams to build efficient workflows that seamlessly connect systems and drive business success. This role provides an excellent opportunity to work on impactful projects in a dynamic and forward-thinking environment.
Responsibilities
Build and deploy effective data integration solutions that align with organizational priorities
Collaborate with different teams to gather requirements and develop integration plans
Analyze, troubleshoot, and improve data workflows to ensure optimal performance and reliability
Create and maintain detailed documentation for integration workflows and system designs
Uphold data security and ensure adherence to relevant compliance standards
Conduct code reviews and provide feedback to enhance team performance
Stay current with emerging technologies and trends in data integration
Contribute to the evolution of tools, processes, and practices to boost efficiency
Requirements
A Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related discipline
At least 3 years of hands-on experience in data integration or a related field
In-depth knowledge of SDLC methodologies and their practical application
Proven experience in implementing SDLC processes in real-world scenarios
Familiarity with Agile principles and their use in development workflows
Advanced skills in SQL for database management and querying
Experience working with NoSQL database systems
Proficiency with CI/CD tools and experience in pipeline configuration
Strong command of English, both written and verbal, at a B2+ level or higher
Nice to have
Experience with cloud platforms such as AWS, Google Cloud, or Azure
Hands-on expertise with ETL tools for data migration and transformation
Understanding of API development and integration techniques
Exposure to big data ecosystems like Spark or Hadoop
Certifications in relevant areas such as data engineering or cloud technologies