Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 27,000+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region.
Key ResponsibilitiesData Analytics/Pyspark/Azure data bricksPipeline Design & Development: Build, monitor, and maintain robust, scalable batch and real-time ETL/ELT pipelines using PySpark, SQL, Delta Lake, and Auto Loader.Data Governance & Security: Enforce data access policies, row/column-level security, and lineage tracking using Databricks Unity Catalog to protect PII and maintain complianceOrchestration & Workflow Automation: Schedule and orchestrate multi-task jobs using Databricks Workflows (Lakeflow Jobs) or external schedulers (e.g., Apache Airflow, Azure Data Factory)Data Quality Assurance: Define and integrate automated data quality rules, validation checks, and testing frameworks (e.g., Great Expectations, Delta Live Tables expectations) directly into pipelinesBig Data handling :Design and implement scalable data ingestion, transformation, and processing pipelines.Automate data collection, validation, and integration workflows.Ensure data quality, reliability, and governance across the data ecosystem.Interface with diverse enterprise data sources including databases, APIs, cloud platforms, files, streaming systems, and third-party applications.Analyze structured and unstructured data to derive actionable insights and recommendations.Design experiments, evaluate data performance, and continuously improve solution effectiveness.Apply advanced analytics techniques to support business decision-making.Data Visualization & Business InsightsBuild intuitive dashboards and visualizations to communicate insights effectively.Translate technical findings into business-friendly recommendations.Support leadership teams with data-driven decision-making.AI, GenAI & Agentic SolutionsDesign and develop AI-powered applications using modern Large Language Models (LLMs).Build Agentic AI workflows and intelligent assistants for enterprise use cases.Implement Model Context Protocol (MCP)-based integrations and orchestration frameworks.Develop Retrieval-Augmented Generation (RAG) and enterprise knowledge solutions.Deployment, Cloud & InfrastructureDeploy AI and analytics solutions across cloud and on-premises environments.Design scalable solution architectures on Azure, AWS, GCP, or hybrid platforms.Containerize applications using Docker.Collaborate with infrastructure and DevOps teams to ensure production-grade deployments.Stakeholder Management & Technical LeadershipWork closely with business stakeholders to understand requirements and define solution roadmaps.Lead technical discussions and provide architectural guidance.Present complex technical concepts to both technical and non-technical audiences.Mentor junior team members and promote engineering best practices. Required Technical SkillsData Science & AnalyticsMachine LearningStatistical ModelingPredictive AnalyticsData MiningFeature EngineeringModel Evaluation and OptimizationProgramming & DevelopmentPython (Mandatory)SQL (Mandatory)Strong scripting and automation skillsREST APIs and system integrationsVersion control systems (Git)Data EngineeringETL/ELT DevelopmentData Pipeline DesignData Warehousing ConceptsWorkflow AutomationStructured and Unstructured Data ProcessingData VisualizationPower BI, Tableau, Looker, or equivalent platformsDashboard DevelopmentData StorytellingCloud & InfrastructureAzure, AWS, or GCPDockerKubernetesCI/CD ConceptsSolution Deployment and MonitoringAI & Generative AILarge Language Models (LLMs)Claude, OpenAI, and related AI platformsAgentic AI FrameworksModel Context Protocol (MCP)Prompt EngineeringRAG ArchitecturesAI Application DeploymentQualificationsBachelor's Degree (BE/BTech) in Computer Science, Information Technology, Data Science, Engineering, Mathematics, Statistics, or a related field.Master's Degree is an added advantage.8+ years of experience in Data Science, Data Engineering, AI, or Analytics domains.Proven experience delivering end-to-end solutions from data acquisit
B.E
6 to 8 years
The Bosch Group is a leading global supplier of technology and services. It employs roughly 417,900 associates worldwide (as of December 31, 2024). According to preliminary figures, the company generated sales of 90.5 billion euros in 2024. Its operations are divided into four business sectors: Mobility, Industrial Technology, Consumer Goods, and Energy and Building Technology. With its business activities, the company aims to use technology to help shape universal trends such as automation, electrification, digitalization, connectivity, and an orientation to sustainability. In this context, Bosch’s broad diversification across regions and industries strengthens its innovativeness and robustness. Bosch uses its proven expertise in sensor technology, software, and services to offer customers cross-domain solutions from a single source. It also applies its expertise in connectivity and artificial intelligence in order to develop and manufacture user-friendly, sustainable products. With technology that is “Invented for life,” Bosch wants to help improve quality of life and conserve natural resources. The Bosch Group comprises Robert Bosch GmbH and its roughly 470 subsidiary and regional companies in over 60 countries. Including sales and service partners, Bosch’s global manufacturing, engineering, and sales network covers nearly every country in the world. Bosch’s innovative strength is key to the company’s further development. At 136 locations across the globe, Bosch employs some 86,900 associates in research and development, of which nearly 48,000 are software engineers.
Instagram: https://www.instagram.com/boschglobal/
Facebook: https://www.facebook.com/BoschGlobal
Glassdoor: https://bit.ly/3raTZnH
Imprint: www.bosch.com/corporate-information
Privacy statement: https://www.bosch.com/data-protection-notice-bosch-linkedin/
