Data Engineer

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

Job summary

Vishay Intertechnology, Inc. in Pune, India, is seeking an Engineer-Data Engineering & Analytics to join our data platform team. You will design, build, and operate scalable data pipelines and platforms across enterprise applications, enabling analytics, AI/ML, and reporting.

The role requires hands-on data engineering with SAP, Salesforce CRM, MES integrations, and cloud data platforms. You will implement ETL/ELT, ensure data quality and security, and collaborate with architecture, analytics,

Qualifications

• Bachelor’s or Master’s degree in CS, Engineering, Data Engineering, or related field.
• 5–8+ years of hands-on data engineering experience.
• Experience with Salesforce data model and APIs.
• Proficiency in SQL; Python and Spark for data processing.
• Experience with cloud data warehouses and data lakes.
• Dimensional and domain‑oriented data modeling.
• Data quality and observability frameworks.
• ERP/CRM data domains and SAP-centric integrations.

Responsibilities

• Design, build, and operate scalable data pipelines and platforms.
• Translate architecture standards into reliable production data solutions.
• Collaborate with SAP, Salesforce, MES, and analytics teams.
• Apply DataOps and DevOps practices; implement governance and security.

Skills

Salesforce data model

SQL

Python

Spark

Data warehouses

Data lakes

Data modeling

Data quality

Observability

Governance

Education

Bachelor's or Master's degree

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.