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

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

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