Engineer Data Engineering & Analytics

Vishay Intertechnology, Inc.; Pune District; On-site; INR 1,800,000 - 3,200,000; Full time

Benefits offered by this job

Health insurance

Financial support programs

Job summary

Vishay Intertechnology, Inc. in Pune, India seeks an Engineer-Data Engineering & Analytics to design, build, and operate scalable data pipelines and platforms across the enterprise landscape.

You will work hands-on with SAP ECC/S4, Salesforce CRM, MES data sources, and cloud data platforms to enable analytics, AI/ML, and self-service BI. Strong SQL, Python, Spark, and data modeling skills are required.

Qualifications

• Bachelor's or Master's in Computer Science, Engineering, Data Engineering or related field.
• Strong hands-on experience with data engineering (5–8+ years) required.
• Proficiency in SQL, Python, Spark and data processing frameworks.

Responsibilities

• Design, build, and operate scalable data pipelines and data platforms.
• Work with SAP, Salesforce, MES, and ERP data sources to ensure data quality and accessibility.
• Develop and maintain cloud data warehouses and data lakes (Azure/SAP) and semantic data models.
• Implement data quality, lineage, and governance controls; monitor data freshness and accuracy.
• Collaborate with enterprise architecture, analytics, and business stakeholders to deliver data solutions.

Skills

SQL

Python

Spark

Data pipelines

ETL/ELT

Education

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

Tools

MuleSoft

SAP BTP

Job description

## Engineer Data Engineering & AnalyticsApplylocations: Pune, INtime type: Full timeposted on: Posted Todayjob requisition id: JR-17543**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.TMVishay 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**1. Data Pipeline Engineering & IntegrationDesign, 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 sourcesImplement ETL/ELT pipelines using enterprise-approved tools and cloud servicesEnsure reliable orchestration, monitoring, error handling, and recovery of data flowsOptimize performance, scalability, and cost efficiency of data ingestion processes2. Enterprise Data Platform DevelopmentBuild 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 modelsBusiness domains (Sales, Finance, Operations, Manufacturing, Supply Chain)Enable analytics, reporting, AI/ML, and self-service BI use cases3. Data Quality, Reliability & ObservabilityImplement data quality controls, validation rules, reconciliation checks, and alerts. Monitor data freshness, completeness, accuracy, and consistencySupport root cause analysis for data issues across source systems and pipelinesEnsure SLAs are met for business-critical datasets4. Data Governance & Security ImplementationEnforce 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 standardsImplement security, privacy, and compliance controls:Role-based access control (RBAC),Data masking and encryption,GDPR and regulatory requirementsSupport audits and compliance assessments related to enterprise data5. Collaboration with Enterprise Architecture & StakeholdersWork closely with the Enterprise Data Architect to:Translate architecture blueprints into implementable solutions,Contribute to roadmap execution and platform evolutionCollaborate with:Application teams (SAP, Salesforce, MES)Integration teams (e.g., MuleSoft, SAP BTP Integration Suite)Analytics, BI, and Data Science teamsBusiness stakeholders and process ownersProvide technical input to project design, demand intake, and solution reviews6. DevOps, Automation & Best PracticesApply DataOps and DevOps practices:CI/CD for data pipelinesInfrastructure-as-code (IaC) where applicableVersion control and automated testingDocument pipelines, models, and operational proceduresContinuously improve reliability, performance, and maintainability**Required Qualifications****Education:**Bachelor’s or Master’s degree in Computer Science, Engineering, Data Engineering, or related fieldTechnical Skills & ExperienceStrong hands-on experience in data engineering (typically 5–8+ years)**Solid experience with:**SAP data sources (ECC/S4 tables, CDS views, extractors, APIs)Salesforce data model and APIsEnterprise 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 lakesDimensional and domain-oriented data modelingData quality and observability frameworksDeveloping data ingest and semantic models within the data lake**Familiarity with:**Manufacturing and MES data structuresERP, CRM, and pricing data domainsGovernance & Enterprise SkillsExperience implementing enterprise data governance rules (not just defining them)Understanding of master data concepts and cross-system alignmentAbility to work within enterprise architecture standards and reference modelsPreferred QualificationsExperience in SAP-centered enterprises**Exposure to:**AI/ML data enablementStreaming platforms (e.g., Kafka, Event Hub)SAP Datasphere, BW/4HANA, or SAC integrationsKnowledge of FinOps / cost optimization for data platformsExperience 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.Do you have the skills we need? Are you ready to power your career as you power the world? If so, apply today.