Engineer Data Engineering & Analytics

Vishay Intertechnology Inc.; Pune District; On-site; INR 1,200,000 - 2,400,000; Full time

Benefits offered by this job

Health care coverage

Financial support programs

Global career opportunities

Job summary

Vishay Pune, India is seeking a Data Engineer to design, build, and operate scalable data pipelines and platforms across the enterprise landscape. You will work hands-on with SAP, Salesforce CRM, MES systems, and cloud data services to enable analytics, AI/ML, and reporting across functions.

The role requires 5–8+ years of data engineering experience, strong SQL, Python/Spark skills, and experience with data governance and security.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Engineering, or related field.
• Strong hands-on experience in data engineering (typically 5–8+ years).
• Salesforce data model and APIs experience.
• Advanced SQL.
• 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.
• Experience in SAP-centered enterprises.

Responsibilities

• Design, implement, and maintain batch and near real-time data pipelines from SAP ECC / S/4HANA, Salesforce CRM, Pricing and quoting platform, MES, and other 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.
• Build and operate enterprise data platforms (cloud data warehouses/lakes on Azure and SAP platforms).
• Implement data models (raw, curated, semantic) aligned with canonical models and business domains.
• Enable analytics, reporting, AI/ML, and self-service BI use cases.

Skills

SQL

Python

Spark

Education

Bachelor’s/Master’s in CS/Engineering/Data Eng

Tools

MuleSoft

SAP BTP Integration Suite

Job description

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 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

• 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
• 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

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 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

5. 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

6. DevOps, Automation & Best Practices

Apply DataOps and DevOps practices:

• 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:

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

Technical Skills & Experience

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

Solid experience with:

Salesforce data model and APIs

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:

• 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.

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.

Vishay has been growing for over 60 years and we're always looking for new people who are passionate about tech, innovation and helping transform the world around us.