MuleSoft Developer

Accenture•Tampa, FL

1d•$46,700 - $150,400•Hybrid

About The Position

The MuleSoft Integration Developer will play a key role in the design, development, and maintenance of data integration solutions that enable seamless data flow across various systems. The ideal candidate will have a strong background in ETL (Extract, Transform, Load) development, cloud data solutions, and an understanding of data architecture. You will collaborate with cross-functional teams to ensure the timely and accurate transfer of data to support data-driven decision-making across the business.

Requirements

Minimum 2 years of experience with MuleSoft data integration tools, ETL development, or data engineering
Minimum 2 years of experience with SQL and database management systems (e.g., MySQL, SQL Server, Oracle, ).
Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate Degree, must have minimum 6 years work experience)

Nice To Haves

Experience with popular data integration tools (e.g., Informatica, Mulesoft Apache Nifi, SSIS) or cloud-native ETL solutions (e.g., AWS Glue, Azure Data Factory).
Familiarity with cloud platforms like AWS, Azure, or Google Cloud.
Proficiency in programming languages such as Python, Java for data manipulation and automation tasks.
Strong problem-solving skills with a focus on optimizing data workflows and ensuring data quality.
Understanding of data warehousing concepts and cloud data architecture.
Experience with Data Integration tools like Mulesoft, Informatica, AWS Glue etc.
Knowledge of data governance principles and best practices.
Certifications in relevant cloud platforms (e.g., AWS, Azure) or data integration tools.
Informatica Cloud Data Integration Developer Certification
MuleSoft Certified Developer Level 1 or 2 Certification

Responsibilities

Design, develop, and maintain robust ETL processes to integrate data from various sources into centralized data systems (e.g., data warehouses, databases).
Write and optimize SQL queries, stored procedures, and scripts to transform and load data.
Implement and maintain data pipelines using integration tools like Informatica, Mulesoft, Apache Nifi, or cloud-native tools (AWS Glue, Azure Data Factory).
Work closely with Data Engineers and Architects to design scalable, reliable, and secure data integration solutions.
Assist in creating technical specifications and designing data integration workflows for complex systems.
Design data models to ensure consistency, accuracy, and efficiency of data processing across systems.
Ensure data integrity and consistency by implementing validation checks, error-handling mechanisms, and data cleansing.
Perform testing of data integration processes to ensure data accuracy, performance, and scalability.
Address data quality issues promptly, and optimize integration processes to reduce errors and improve performance.
Work closely with business analysts, data scientists, and business intelligence teams to understand data requirements and ensure integration solutions meet business needs.
Communicate project status, timelines, and challenges to key stakeholders.
Create and maintain clear documentation for data integration processes, procedures, and code.
Monitor and optimize existing data integration workflows for improved performance.
Ensure that all integrations follow best practices for security, scalability, and compliance with organizational standards.