Data Integration Engineer
Bangalore, India
NXP Semiconductors
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 complex data integration solutions that ensure seamless data flow across various systems and platforms.
Lead the design and implementation of data integration solutions, ensuring data accuracy, integrity, and security.
Oversee and optimize data integration processes, including data mapping, transformation, and orchestration.
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 integration requirements and deliver solutions that meet business needs.
Continuous rollout of solution using CI/CD processes and tools like Gitlab.
Monitor data integration processes, identify issues, and implement solutions to ensure smooth data flow.
Maintain comprehensive documentation of integration processes, data mappings, and system configurations.
Ensure compliance with industry standards and regulations related to data exchange and security.
Provide guidance and mentorship to junior data engineers, fostering a culture of continuous learning and improvement.
Your profile
To be successful in this role you have:
Bachelor or Master's degree in Computer Science, Information Technology or equivalent years of relevant experience.
5-8 years of experience in data engineering, with a focus on data integration.
Proficiency in data integration tools and platforms (e.g. TIBCO, Snaplogic). Strong experience with SQL, Python, and data transformation tools.
You have deep expertise in or similar to TIBCO BusinessWorks 5 and 6, Container Edition, or Snaplogic/Workato. Next to that you have experience with messaging solutions like TIBCO EMS and RV or open source solutions like Kafka or Pulsar.
Experience with and knowledge of XML, XLST, XSD, WSDL, SOAP and REST API’s
Experience in SAP and knowledge of SAP ALE (idoc)
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 relational databases
Experience with web technologies: HTML, CSS, XML, XSLT, XPath
Experience with modelling languages such as UML
Excellent verbal and written communication skills, with the ability to collaborate effectively with cross-functional teams.
High level of accuracy and attention to detail in all aspects of work.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Architecture AWS Azure CI/CD Computer Science Data governance Data quality Data warehouse Engineering Git GitLab Java JavaScript Kafka Microservices Open Source Pulsar Python RDBMS REST API Security SQL XML XSD
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