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

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

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