Engineer Data Engineering & Analytics

Vishay Intertechnology, Inc.; Maharashtra; On-site; INR 1,500,000 - 2,500,000; Full time

Benefits offered by this job

Health care coverage

Financial support programs

Global opportunities

Job summary

Vishay Intertechnology, Inc. Pune, India, seeks a Data Engineer to design, build, and operate scalable data pipelines and platforms across SAP, Salesforce, and MES ecosystems. You will translate architecture standards into reliable, production-grade data solutions supporting analytics and AI/ML workloads.

The role emphasizes data governance, security, and collaboration with enterprise architecture and stakeholder teams. Strong SQL, Python, Spark skills and 5–8+ years of experience are required.

Qualifications

• 5–8+ years hands-on data engineering experience.
• Experience with SAP and Salesforce data sources and APIs.
• Proficiency in SQL, Python, Spark and data processing frameworks.

Responsibilities

• Design, build, and operate scalable data pipelines and platforms.
• Implement ETL/ELT pipelines and ensure data quality and governance.
• Collaborate with enterprise architecture and analytics teams.
• Ensure security, compliance, and data lineage across systems.
• Operate DevOps practices for data pipelines and CI/CD automation.

Skills

SQL (advanced)

Python

Spark

Data pipelines

ETL/ELT

Data governance

Education

Bachelor's or Master's in CS/Engineering/Data Engineering

Tools

SAP ECC/S4 data sources

Salesforce data model & APIs

MuleSoft / SAP BTP Integration Suite

Azure data services / cloud data warehouses

Data orchestration tools

Job description

Enterprise Data Platform Development

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

Vishay manufactures one of the world's 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 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. Come join us and help us build The DNA of tech.™

Vishay Intertechnology, Inc. is a Fortune 1,000 Company listed on the NYSE (VSH). Learn more at www.Vishay.com.

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 high‑quality 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 hands‑on 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

• Data Pipeline Engineering & Integration Design, implement, and maintain batch and near–real-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
• 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 product,SAP 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
• 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
• Data Governance & Security Implementation Enforce data governance standards defined by the Enterprise Data Architect, including: Data ownership and stewardship models,Master 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 encryption,GDPR and regulatory requirements Support audits and compliance assessments related to enterprise data
• Collaboration with Enterprise Architecture & Stakeholders Work Closely With The Enterprise Data Architect To Translate architecture blueprints into implementable solutions,Contribute 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
• 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

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, Data Engineering, or related field

Required Qualifications

Strong hands‑on experience in data engineering (typically 5–8+ years)

Technical Skills & Experience

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, 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.

EEO Statement

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.