Vishay
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Electronics Manufacturing · 10000+ Employees · Malvern, US
Power Your Career As You Power the World. Vishay helps the world’s most in-demand technologies come to life. Every day our products touch your life and the lives of people across the world, though you likely do not know it. Since 1962, we have defined what technology can be through our electronic components—we can also help you define your future. With us, you'll experience unique career paths, an open and collaborative culture, a stable business that will be there for you, and opportunities to work globally and locally. Come join us and help us build the DNA of tech
What employees say
+ Good knowledge of learning Good culture
− Some office politics sometimes not working well
More reviews on the company profile.
Interview experience · Software Development Engineer In Test (SDET)
First qsn was Leetcode easy qsn and then a medium level qsn then Advanced qsns were asked on Object Oriented Program and then some medium level qsns on Data Base Management Systems
Difficult difficulty · India · 7 reports
More interview insightsJob description
Overview
The Data Engineer is responsible for designing, building, and operating scalable, secure, and high-quality data pipelines and platforms across the enterprise application landscape. This role executes the enterprise data strategy, translating architecture standards into reliable, production-grade data solutions that support analytics, AI/ML, operational reporting, and downstream integrations.
Responsibilities
- Design, implement, maintain batch and near-real-time data pipelines.
- Integrate data from SAP ECC / S/4HANA, Salesforce CRM, Pricing and quoting platform, multiple MES systems, external and third-party data sources.
- Implement ETL/ELT pipelines using enterprise-approved tools and cloud services.
- Ensure reliable orchestration, monitoring, and maintenance of data platforms.
- Work with SAP systems, Salesforce CRM, Pricing and Quoting platforms, MES platforms, middleware/integration tools, and cloud data platforms.
- Ensure enterprise data is trustworthy, accessible, and compliant.
Qualifications
- Experience in designing and building scalable data processing solutions.
- Knowledge of enterprise data architecture, governance rules, and target-state designs.
- Hands-on experience with enterprise systems including SAP, Salesforce, and MES platforms.
- Experience with ETL/ELT tools and cloud services.
Nice to have
- Experience in AI/ML support and data-driven reporting.
- Knowledge of compliance requirements.
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