Sr. Data Engineer (AWS)

Description:

We are seeking a skilled Data Engineer with expertise in MuleSoft to join our dynamic team. In this role, you will be responsible for designing, developing, and maintaining robust data integration solutions that leverage MuleSoft's powerful capabilities. You will collaborate closely with cross-functional teams to gather requirements and translate them into scalable data architectures. Our ideal candidate is not only proficient in data engineering but also has a strong understanding of API-led connectivity and microservices architecture. You will work on various projects that involve data extraction, transformation, and loading (ETL) processes, as well as ensuring the integrity and accessibility of data across different systems. Your analytical mindset and problem-solving skills will be crucial in optimizing data flows and enhancing performance. Additionally, you will be involved in the automation of data processes, implementing best practices for data management, and ensuring compliance with data governance policies. By joining our team, you will have the opportunity to work with a variety of technologies, contribute to innovative projects, and grow your skills in a collaborative environment.

Responsibilities:

Design and implement ETL processes using MuleSoft to integrate data from various sources.

Collaborate with stakeholders to gather and understand data integration requirements.

Develop and maintain data pipelines and workflows to ensure efficient data transfer and processing.

Optimize data models for performance and scalability across different applications and environments.

Monitor and troubleshoot data integration processes, addressing any issues that arise.

Ensure data quality and integrity by implementing validation and cleansing procedures.

Document data flows, processes, and integration designs to maintain comprehensive records.

Requirements: 

Bachelor's degree in Computer Science, Engineering, or a related field.

Proven experience as a Data Engineer with a strong focus on MuleSoft technologies.

Hands-on experience with API development and integration using MuleSoft Anypoint Platform.

Strong understanding of data modeling concepts and database management systems.

Proficiency in programming languages such as Java, Python, or SQL.

Experience with cloud services such as AWS, Azure, or Google Cloud Platform.

Excellent problem-solving skills and attention to detail, with the ability to work collaboratively.