Design and implement scalable data integration solutions tailored to business needs

Work closely with cross-functional teams to define requirements and develop integration strategies

Monitor, troubleshoot, and refine data workflows to maximize performance and dependability

Develop comprehensive documentation for integration procedures and architectures

Ensure compliance with data governance policies and security standards

Engage in code reviews to maintain high-quality development practices

Stay informed about the latest advancements in data integration tools and techniques

Drive improvements in processes, tools, and methodologies to enhance team productivity

Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field

Minimum of 3 years of experience in data integration or a similar role

Expertise in SDLC methodologies and their practical implementation

Demonstrated experience applying SDLC processes in live projects

Strong familiarity with Agile development principles and practices

Advanced proficiency in SQL for querying and managing databases

Experience with NoSQL database technologies

Hands-on experience with CI/CD tools and pipeline automation

Strong English communication skills, both written and spoken, at a B2+ or higher level

Practical experience with cloud environments such as Azure, AWS, or Google Cloud

Proficiency with ETL tools for data extraction, transformation, and loading

Knowledge of API integration and development concepts

Familiarity with big data technologies such as Hadoop or Spark

Industry certifications in data engineering, cloud platforms, or related technologies