Mulesoft Developer

ETG Digital
Posted on
ETG Digital logo
Experience
4 - 12 yrs
Job Location
Hyderabad, India
Vacancy
1
Designation
Mulesoft Developer
Job Type
Not specified

Job Description

Key Responsibilities
MuleSoft Integrations
  • Design and configure Scheduler flows for time-triggered data synchronization
  • Build time zone-aware, dynamic scheduler jobs using properties-based configuration
  • Implement chained flows calling multiple downstream systems
  • Monitor and audit scheduled runs for debugging and traceability
Webhooks & Event-Driven Integrations
  • Configure public-facing HTTP Listener endpoints with robust security and validations
  • Handle webhook payloads asynchronously with deduplication and queuing logic
  • Parse and validate headers, content types, and payload signatures
Data Transformation
  • Use DataWeave to transform data between JSON, XML, CSV, Java objects
  • Handle complex nested mappings and reusable transformation functions
Batch Processing
  • Develop scalable batch jobs for file and data processing
  • Integrate batch processing flows with cloud storage systems
Connector Integrations
  • Utilize connectors for AWS SQS, MongoDB, PostgreSQL, Airtable, and Slack
  • Build resilient integrations with logging, retries, and monitoring using Anypoint Monitoring or Datadog
  • Write custom loggers and error-handling strategies

Technical Environment & Tools
  • Anypoint Platform Studio, API Manager, Runtime Manager, Exchange
  • DataWeave, MUnit, Postman, CloudHub, AWS
  • MongoDB: Compass, Shell, Robo 3T
  • PostgreSQL: pgAdmin, DBeaver, psql
  • Airtable: REST API, JavaScript, OAuth

Required Skills & Experience
  • 3+ years of hands-on MuleSoft development experience
  • Strong experience with Scheduler jobs, batch processing, webhooks, and data transformations
  • Proficiency in designing and integrating with MongoDB, PostgreSQL, and REST APIs
  • Strong SQL, JSON, XML transformation skills
  • Ability to build and scale integrations using MuleSoft connectors

Nice to Have
  • Experience with MongoDB aggregation pipelines and ETL workflows
  • Integration experience with Airtable (views, automations, REST API, scripting)
  • Familiarity with OAuth, rate limiting, and building real-time sync with databases

Work Expectations
  • This is a Work From Office (WFO) role remote work is not permitted
  • Evening shift support required daily until 10 PM IST
  • Flexibility to work from the client location as needed

No Referrers Available

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