Forward Deployed Data Engineering Expert (Bangalore, KA, IN, 562149)

SAP
Bengaluru
Workplace: HybridFull timeFunction: Software EngineeringSkills: ["Collaboration","Communication","Customer-centric","Ownership","Continuous learning"]

Design, build, and operate scalable data pipelines and platforms that enable analytics, reporting, and AI-driven use cases inside customer environments. Translate business and analytical requirements into reliable, secure, and maintainable data solutions, embedding with fast-moving cross-functional teams. Drive technical quality and scalability across customer engagements while integrating data from internal/external sources, monitoring pipeline health, and applying engineering standards for governance, compliance, and operational stability.

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FursaFursa
SAP
SAP
2 hours ago

Forward Deployed Data Engineering Expert (Bangalore, KA, IN, 562149)

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Design, build, and operate scalable data pipelines and platforms that enable analytics, reporting, and AI-driven use cases inside customer environments. Translate business and analytical requirements into reliable, secure, and maintainable data solutions, embedding with fast-moving cross-functional teams. Drive technical quality and scalability across customer engagements while integrating data from internal/external sources, monitoring pipeline health, and applying engineering standards for governance, compliance, and operational stability.
Location: Bengaluru
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Design, develop, and maintain scalable data pipelines and data models for analytics, reporting, and AI use cases.
  • •Integrate data from multiple internal and external sources with data quality, consistency, and reliability in mind.
  • •Build and optimize data processing workflows using modern cloud-based data platforms.
  • •Ensure data solutions meet performance, security, governance, and compliance requirements for customer projects.
  • •Monitor, troubleshoot, and improve data pipelines and platforms to ensure operational stability and continuous improvement.
Travel: Low travel

Key Requirements

  • •Design and implement scalable data pipelines and data models for enterprise analytics and AI use cases.
  • •Proficiency in SQL and at least one data-engineering programming language (e.g., Python).
  • •Hands-on experience with modern data platforms and cloud-based data technologies, including distributed processing frameworks.
  • •Experience with data quality, data governance, and data lifecycle management, including compliance and PII protection standards.
  • •Build end-to-end ETL/ELT solutions with strong orchestration and integration skills, using tools like PySpark, Databricks, and Airflow.
Skills:CollaborationCommunicationCustomer-centricOwnershipContinuous learning
Tech Stack:SQLPythonPySparkDatabricksAirflowSAP HANAKafkaParquetDelta LakeLakehouseETLELTDockerGitCI/CD

Company Brief

SAP
Global enterprise software company best known for ERP systems and business applications covering finance, supply chain, procurement, HR, analytics, and customer management for large organizations.
Industry: Enterprise Software
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Walldorf, Germany
Founded: 1972
Glassdoor
Glassdoor: 4.1
WebsiteLinkedInGlassdoor