Description

Roles/Responsibilities:

• Oversee the end-to-end development of MuleSoft integration solutions.
• Provide technical guidance and ensuring the successful delivery of complex data integration projects.
• Define and drive the strategic vision for data integration, aligning with organizational goals and leveraging advanced technologies such as digital twin, Azure, MQTT, and Snowflake.
• Architect scalable and resilient integration solutions as an individual contributor.
• Conduct regular knowledge-sharing sessions and training for the development team.
• Implement MuleSoft security best practices, ensuring the confidentiality and integrity of data throughout the integration processes.
• Engage in continuous improvement of integration processes and methodologies.
• Experience with performance tuning and optimization of MuleSoft integrations.
• Collaborate with cross-functional teams to understand business requirements and translate them into comprehensive data integration strategies.
• Establish and enforce coding standards, solution architecture, and best practices across the data integration team.
• Implement continuous integration and continuous deployment (CI/CD) pipelines to automate testing and deployment processes.
• Provide hands-on technical leadership in solving complex integration challenges, ensuring the team meets project timelines and objectives.
• Performs other related duties as assigned

Mandatory Skills:

• Bachelor's degree in computer science, Information Technology, or a related field.
• 3-5 years extensive experience in advanced MuleSoft development and integration projects.
• 1-2 years proven expertise in integrating digital twin, Azure, MQTT, IOT, AI and Snowflake technologies.
• 3-5 years of strong understanding of API design, RESTful web services, and advanced integration patterns.
• Knowledge of security protocols and best practices for complex integration scenarios.
• Excellent communication and collaboration skills.
• Mule 4.3+, Anypoint Studio, Anypoint code builder, Advanced API Development and Design.
• Experience in Design center, Exchange, API manager, Expertise in complex data transformation using Data weave.
• Experience of Production support of on-prem and cloud applications, monitoring and troubleshoot.
• Experience in integration of digital twin, Azure services, MQTT communication, AI, and Snowflake data warehousing within the broader data integration landscape.
• Strong expertise in Mule connectors and develop custom connectors.
• Java, Python and/or other advanced programming languages.
• Integration Patterns (Advanced), Anypoint Platform, Git, Maven, Jenkins, Advanced MUnit, Advanced DataWeave.
• Ability to unlock data using real time data API and automate back-office manual operations using Mule RPA and AI.
• Proficiency in a scripting language (e.g., Python, JavaScript)
• Skilled in developing MuleSoft CloudHub applications and integrating with various On-prem environments.
• Utilize Kafka for data streaming, ensuring real-time data processing and event-driven architectures.
• Knowledge of Linux proficient in Azure services related to integration and experience with MuleSoft RPA
• Familiarity with "Gen AI" technologies and methodologies.
• Adherence to C4E best practices; ability to contribute to C4E initiatives.

Desirable Skills:

• MuleSoft Certified Developer - Level 2
• MuleSoft Certified Integration Architect - Level 1

Key Skills

Education

Any Graduate