MuleSoft Developer
Core
Design, develop, and maintain robust ETL processes and data integration solutions to enable seamless data flow across various systems and support data-driven decision-making.
Role type
MuleSoft Integration Developer (ETL/Data Engineering)
Builds
Data pipelines, ETL processes, and integration workflows connecting diverse data sources to centralized systems.
Domain
Data Engineering / Cloud Data Solutions
Required skills
MuleSoft, ETL development, SQL, Data Warehousing, Cloud Data Architecture, Data Modeling, Data Validation, Error Handling
Preferred skills
Informatica, Apache NiFi, AWS Glue, Azure Data Factory, Python, Java, Data Governance, Cloud Platforms (AWS/Azure/GCP)
Technologies
MuleSoft, Informatica, Apache NiFi, AWS Glue, Azure Data Factory, MySQL, SQL Server, Oracle
Responsibilities
Design and optimize SQL queries and stored procedures for data transformation; Collaborate with Data Engineers and Architects on scalable solutions; Implement validation checks and error-handling mechanisms; Test data integration processes for accuracy and performance; Create and maintain technical documentation; Monitor and optimize existing workflows for performance.
Seniority
Mid-level, hands-on IC