SnapLogic Developer - ETL/Data Integration (3-6 yrs)

Responsibilities :

- Create, test, and deploy robust data integration workflows on the SnapLogic platform to connect on-premise and cloud applications.

- Build optimized data pipelines, enhancing efficiency, reliability, and scalability to handle large data volumes effectively.

- Identify and resolve integration issues, working to minimize downtime and optimize performance.

- Work closely with teams such as Product, Engineering, and Business Operations to ensure solutions align with business needs.

- Maintain thorough documentation for each integration pipeline, including configurations, workflows, and troubleshooting guides.

- Follow data security protocols and governance standards, ensuring compliance in data handling and integration processes.

- Stay updated with SnapLogic platform advancements, best practices, and integration trends, actively contributing to team improvements.

- Design and implement reusable components and templates to streamline integration processes and improve delivery time.

- Offer technical guidance to junior team members, sharing knowledge on best practices and SnapLogic features.

Requirements :

- Experience : 3-4 years of hands-on experience as a SnapLogic Developer or in a similar role involving data integration.

- SnapLogic Expertise : In-depth knowledge of SnapLogic Snaps, pipelines, data transformation, error handling, and API integrations.

Technical Skills :

- Proficiency in data integration, ETL, API management, and message queues.

- Knowledge of SQL and database management.

- Strong programming skills in languages such as JavaScript or Python.

- Ability to diagnose, troubleshoot, and resolve integration issues with a keen attention to detail.

- Knowledge of data security practices and compliance in integration processes.

Preferred Qualifications :

- SnapLogic Certification (e. g., SnapLogic Certified Developer).

- Experience with other iPaaS platforms like MuleSoft, Dell Boomi, or Workato is a plus.

- Familiarity with cloud platforms (AWS, Azure, GCP) and related data services.

- Knowledge of CI/CD pipelines and DevOps practices for deployment automation.