Develop and deploy effective data integration systems that align with organizational goals

Partner with cross-functional teams to identify requirements and craft integration solutions

Oversee and enhance data workflows to ensure reliability and efficiency

Create and update documentation for integration processes and system designs

Safeguard data integrity and ensure adherence to applicable regulations

Participate in peer reviews to improve code quality and share best practices

Keep up with advancements in data integration technologies and methodologies

Support continuous improvement initiatives across tools and processes

Degree in Computer Science, Information Technology, or a related discipline at the Bachelor’s or Master’s level

At least 3 years of hands-on experience in data integration or related fields

Solid understanding of SDLC methodologies and their application in projects

Proven experience executing SDLC processes in real-world scenarios

Familiarity with Agile workflows and development practices

Advanced knowledge of SQL for database querying and manipulation

Experience working with NoSQL databases and technologies

Working expertise in CI/CD tools and pipeline management

Proficiency in English communication, both written and verbal, at a B2+ level or higher

Experience with cloud providers such as AWS, Google Cloud, or Azure

Hands-on experience using ETL tools for data extraction, transformation, and loading

Knowledge of API development and integration methodologies

Exposure to big data frameworks like Spark or Hadoop

Certifications in relevant technologies or data-focused domains