Business Process Engineer - Data Integration and Automation

Agam Data Analytics is seeking a talented Business Process Engineer to join our team based in TLV. In this role, you will support clients with their everyday technical needs, solving issues using automation and coding by any means necessary. This position is crucial in connecting various data points from our diverse client base. The ideal candidate will build efficient solutions that streamline data flow across multiple platforms and tools used by our clients.

Key Responsibilities:

1. Support clients with their daily technical needs and troubleshoot issues as they arise.
2. Design, develop, and maintain integration pipelines that connect various client data sources (CRMs, marketing platforms, analytics tools, etc.).
3. Use Make.com and other tools to create and manage automated workflows and integrations.
4. Develop automation scripts and tools to streamline data processing, cleansing, and transformation.
5. Implement a unified data model that accommodates diverse client needs and enables comprehensive analytics.
6. Build user-friendly interfaces for data visualization and management using pre-existing components (using no-code).
7. Ensure high performance, reliability, and security of the integration platform.
8. Collaborate with the marketing technology team to align integration efforts with campaign needs.
9. Implement error handling, logging, and monitoring systems.
10. Continuously improve the system architecture to support scaling and new feature development.

Requirements:

1. Bachelor's degree in Computer Science, Software Engineering, or a related field.
2. Proficiency in coding and experience with Make.com for automation and integrations.
3. Basic knowledge of backend technologies (e.g., Python, Node.js) and frontend development (e.g., React).
4. Understanding of database systems (SQL and NoSQL).
5. Familiarity with cloud platforms and containerization is a plus.
6. Knowledge of API design and development.
7. Understanding of data privacy regulations and security best practices.
8. Excellent problem-solving skills and attention to detail.

 Preferred Qualifications:

1. Experience working with marketing technology stacks and CRM systems.
2. Familiarity with big data technologies.
3. Knowledge of machine learning and data science concepts.
4. Experience with real-time data processing systems.