Engineer Data Engineering & Analytics

We are seeking great talent to help us build The DNA of tech.

Vishay manufactures one of the worlds largest portfolios of discrete semiconductors and passive electronic components that are essential to innovative designs in the automotive industrial computing consumer telecommunications military aerospace and medical markets. We help the worlds 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. Come join us and help us build The DNA of tech.

Vishay Intertechnology Inc. is a Fortune 1000 Company listed on the NYSE (VSH). Learn more at .

Do you want to help us build the DNA of tech. Vishay Pune India is currently seeking applicants for an Engineer-Data Engineering & Analytics

Job Location- Magarpatta Pune

Job Summary:

The Data Engineer is responsible for designing building and operating scalable secure and highquality data pipelines and data platforms across the enterprise application landscape.

This role executes the enterprise data strategy defined by the Enterprise Data Architect translating architecture standards governance rules and target-state designs into reliable production-grade data solutions that support analytics AI/ML operational reporting and downstream integrations.

The Data Engineer works handson with SAP systems Salesforce CRM Pricing and Quoting platform MES platforms middleware/integration tools and cloud data platforms ensuring enterprise data is trustworthy accessible and compliant.

Key Responsibilities

1. Data Pipeline Engineering & Integration

Design implement and maintain batch and nearreal-time data pipelines from:

SAP ECC / S/4HANA (IDocs extractors CDS views APIs)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 error handling and recovery of data flows

Optimize performance scalability and cost efficiency of data ingestion processes

2. Enterprise Data Platform Development

Build and operate enterprise data platforms such as:

Cloud data warehouses / data lakes MS Azure and SAP Business Data Cloud or related data productSAP BW / analytics backends

Implement data models (raw curated semantic layers) aligned with:

Enterprise canonical models

Business domains (Sales Finance Operations Manufacturing Supply Chain)

Enable analytics reporting AI/ML and self-service BI use cases

3. Data Quality Reliability & Observability

Implement data quality controls validation rules reconciliation checks and alerts. Monitor data freshness completeness accuracy and consistency

Support root cause analysis for data issues across source systems and pipelines

Ensure SLAs are met for business-critical datasets

4. Data Governance & Security Implementation

Enforce data governance standards defined by the Enterprise Data Architect including:

Data ownership and stewardship modelsMaster data alignment (customer product pricing supplier)

Metadata lineage and documentation standards

Implement security privacy and compliance controls:

Role-based access control (RBAC)Data masking and encryptionGDPR and regulatory requirements

Support audits and compliance assessments related to enterprise data

5. Collaboration with Enterprise Architecture & Stakeholders

Work closely with the Enterprise Data Architect to:

Translate architecture blueprints into implementable solutionsContribute to roadmap execution and platform evolution

Collaborate with:

Application teams (SAP Salesforce MES)

Integration teams (e.g. MuleSoft SAP BTP Integration Suite)

Analytics BI and Data Science teams

Business stakeholders and process owners

Provide technical input to project design demand intake and solution reviews

6. DevOps Automation & Best Practices

Apply DataOps and DevOps practices:

CI/CD for data pipelines

Infrastructure-as-code (IaC) where applicable

Version control and automated testing

Document pipelines models and operational procedures

Continuously improve reliability performance and maintainability

Required Qualifications

Education:

Bachelors or Masters degree in Computer Science Engineering Data Engineering or related field

Technical Skills & Experience

Strong hands-on experience in data engineering (typically 58 years)

Solid experience with:

SAP data sources (ECC/S4 tables CDS views extractors APIs)

Salesforce data model and APIs

Enterprise integration platforms (e.g. MuleSoft SAP BTP Integration Suite)

Proficiency in:

SQL (advanced)

Python Spark or equivalent data processing frameworks

Experience with:

Cloud data warehouses and data lakes

Dimensional and domain-oriented data modeling

Data quality and observability frameworks

Developing data ingest and semantic models within the data lake

Familiarity with:

Manufacturing and MES data structures

ERP CRM and pricing data domains

Governance & Enterprise Skills

Experience implementing enterprise data governance rules (not just defining them)

Understanding of master data concepts and cross-system alignment

Ability to work within enterprise architecture standards and reference models

Preferred Qualifications

Experience in SAP-centered enterprises

Exposure to:

AI/ML data enablement

Streaming platforms (e.g. Kafka Event Hub)

SAP Datasphere BW/4HANA or SAC integrations

Knowledge of FinOps / cost optimization for data platforms

Experience working in global multi-region environments

What can we offer you for your talent:

Vishay offers a comprehensive suite of benefit programs including health care coverage financial support programs and other resources designed to help you achieve your personal and professional goals. With us youll 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.

Do you have the skills we need Are you ready to power your career as you power the world If so apply today.

Vishay be committed to a workplace free of harassment and unlawful discrimination. We do not engage in discrimination or harassment based on sex race color religion national origin disability protected veteran status age or any other characteristic protected by law in hiring and employment practices.