Create and deploy data integration solutions that meet organizational requirements

Collaborate with teams across the organization to define needs and develop integration plans

Monitor and improve data workflows to ensure reliability and optimal functioning

Prepare and maintain detailed documentation for integration processes and system designs

Maintain data security and ensure adherence to regulatory and compliance standards

Participate in code reviews to ensure high-quality development practices

Stay updated on emerging trends and technologies relevant to data integration

Contribute to the refinement of tools, workflows, and processes to enhance team performance

Bachelor's or Master's degree in Computer Science, Information Technology, or a related area

At least 3 years of professional experience in data integration or related roles

Comprehensive understanding of SDLC methodologies and their practical use in projects

Proven experience implementing SDLC processes in real-world applications

Strong knowledge of Agile development workflows and practices

Advanced skills in SQL for database querying and management

Experience with NoSQL databases and related technologies

Practical expertise in CI/CD tools and pipeline setups

High-level English proficiency in both written and spoken communication, at B2+ or higher

Familiarity with cloud platforms such as AWS, Azure, or Google Cloud

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

Knowledge of API development and integration concepts

Exposure to big data technologies like Hadoop or Spark

Relevant certifications in areas such as data engineering or cloud computing