As Senior Data Engineer, you will assist in designing, developing and maintaining integration solutions that connect various business application and systems. With other words, you will ensure maximum effectiveness and quality of implementing IT integration solutions for NXP. You are managing, developing and deploying IT solutions within enterprise applications landscape which are related to enterprise integration. You will translate functional requirements into technical solutions and ensures that the solutions are in compliance with the process, architecture, design and security guidelines of NXP.
Your responsibilities
The ideal candidate will be responsible for designing, developing, and maintaining data integration and automation solutions that leverage RPA technologies to streamline business processes and enhance operational efficiency.
Lead the design and implementation of RPA solutions to automate data integration and business processes, ensuring data accuracy, integrity, and security.
Oversee and optimize RPA processes, including bot development, deployment, and monitoring.
Data Transformation: Transform and load data from multiple sources into our data warehouse, ensuring consistency and reliability.
Work closely with business analysts, developers, and stakeholders to understand automation requirements and deliver solutions that meet business needs.
Monitor RPA processes, identify issues, and implement solutions to ensure smooth data flow and process automation.
Maintain comprehensive documentation of RPA processes, data mappings, and system configurations.
Ensure compliance with industry standards and regulations related to data exchange, automation, and security.
Provide guidance and mentorship to junior data engineers, fostering a culture of continuous learning and improvement.
Continuous rollout of solution using CI/CD processes and tools like Gitlab.
Work together with and guide our colleagues from NXP’s external service provider
Your profile
To be successful in this role you have:
Bachelor's degree in Computer Science, Information Technology, or a related field. A Master's degree is a plus.
5-8 years of experience in data engineering, with a focus on RPA.
Proficiency in RPA tools and platforms (e.g., UiPath, Automation Anywhere, Blue Prism). Strong experience with SQL, Python, and data transformation tools.
Excellent problem-solving skills and the ability to analyze complex data integration and automation scenarios.
Excellent written and verbal communication and presentation skills in English.
Ability to work with a geographically dispersed, multi-cultural team.
Ability to collaborate and partner with business and IT in defining, preparing and executing changes.
Experience with cloud-based data integration platforms (e.g., AWS, Azure).
Knowledge of API integration and web services.
Familiarity with data governance and data quality best practices.
Furthermore, you have:
Experience with Java, JavaScript or other scripting languages
Understanding of Integration patterns, SOA, and microservices architecture.
Strong problem-solving skills and ability to work in a multi-disciplined environment.
Eagerness to learn and adapt to new technologies, like iPaaS (Snaplogic or similar)
Been exposed to CI/CD tools like Git
Experience with modelling languages such as UML
Excellent verbal and written communication skills, with the ability to collaborate effectively with cross-functional teams.
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