Engineer Data Engineering & Analytics New

NetVerks Inc.; Pune District; Presencial; INR 1 800 000 - 3 000 000; Tempo integral

Resumo da oferta

Vishay Intertechnology, Inc. in Pune, India seeks a Data Engineer to design, build, and operate scalable data pipelines and platforms across enterprise systems.

The role interfaces with SAP, Salesforce, and MES data sources to enable analytics, AI/ML, and self-service BI, while upholding governance and security standards.

Qualificações

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Engineering, or related field.
• 5–8+ years of data engineering experience.
• Strong hands-on with SAP data sources (ECC/S4, CDS, extractors, APIs).
• Proficient in SQL and Python/Spark; knowledge of cloud data warehouses.

Responsabilidades

• Design, build, and operate scalable data pipelines and platforms.
• Collaborate with SAP, Salesforce, MES and integration teams.
• Ensure data quality, governance, and security per enterprise standards.
• Implement data models and enable analytics, AI/ML, and BI use cases.
• Drive DataOps practices, CI/CD for data pipelines, and IaC where applicable.
• Support data governance and security controls across data landscapes.

Conhecimentos

SQL

Python

Spark

SAP data sources

Salesforce APIs

MuleSoft

Formação académica

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

Ferramentas

SAP ECC/S4

Salesforce

MuleSoft

SAP BTP Integration Suite

Descrição da oferta de emprego

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

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

1. 1. 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
2. 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 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. 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. 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. 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. 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:

• 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:
  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.

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.