MuleSoft Developer Job Chesterbrook Pennsylvania USA,IT/Tech

We are:

The Advanced Technology Centers (ATCs) is the engine for reinvention in our clients' transformation journey. Powered by more than 255,000 people across 24 countries, ATCs will provide our clients seamless access to industry insights and innovative technology solutions. Stronger together! The Advanced Technology Centers (ATCs) make tremendous impact in solving our clients' business problems leveraging Innovation, Intelligence, Industry insights, new IT and new technology skills.

Now, with the global environment changing at a faster pace, our clients are facing unprecedented challenges and they need us more than ever before. As a Network, ATCs are positioned to unlock greater opportunities and exponential value for our clients. The value for our clients and our people For our clients, the Network provides the strength of our geographic diversity, greater resilience, and seamless access to the deepest industry knowledge, the latest in Gen AI solutions, and tech expertise from around the world.

For our people, it brings an opportunity to shape truly boundaryless career paths in a highly collaborative team of experts where they can learn from each other and solve the world's most complex client challenges

You are:

An experienced Mule Soft Integration Developer

The Work:

The Mule Soft 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.

Key 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.

What you need:

Minimum 2 years of experience with Mule Soft 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).

Bonus points if you have:

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)…