Senior Data Scientist - AI, Data Engineering & Intelligent Automation in Bangalore, भारत

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.

Job Description

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 https://jobeax.com/link/aaUCMcaJ4PygPoos 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 https://jobeax.com/link/FHmhildmYf4rm6NV data collection, validation, and integration https://jobeax.com/link/pJUBIg46b0hwEwSS data quality, reliability, and governance across the data https://jobeax.com/link/koedQ9rUx7iUQJ13 with diverse enterprise data sources including databases, APIs, cloud platforms, files, streaming systems, and third-party https://jobeax.com/link/UWI4sB05x1Oo18DH structured and unstructured data to derive actionable insights and https://jobeax.com/link/726kSL29uPO0iswS experiments, evaluate data performance, and continuously improve solution https://jobeax.com/link/UQsSF9t53Xbs88rp advanced analytics techniques to support business https://jobeax.com/link/wU2a38e5VSaTy3e5 Visualization & Business InsightsBuild intuitive dashboards and visualizations to communicate insights https://jobeax.com/link/ZC8czQQY1DBHArrR technical findings into business-friendly https://jobeax.com/link/bisAayeKOnNUjIzk leadership teams with data-driven https://jobeax.com/link/nfqkrfzX5LEMNBhU, GenAI & Agentic SolutionsDesign and develop AI-powered applications using modern Large Language Models (LLMs).Build Agentic AI workflows and intelligent assistants for enterprise use https://jobeax.com/link/cpKteyJuzTCR0PsD Model Context Protocol (MCP)-based integrations and orchestration https://jobeax.com/link/7mLP6VFzfFsrCBkr Retrieval-Augmented Generation (RAG) and enterprise knowledge https://jobeax.com/link/sOm5OubDFuQnKPDi, Cloud & InfrastructureDeploy AI and analytics solutions across cloud and on-premises https://jobeax.com/link/o0Ozl73S5MKwROdi scalable solution architectures on Azure, AWS, GCP, or hybrid https://jobeax.com/link/lk53TfVeDx8v6oCs applications using https://jobeax.com/link/E2IIbOzemh8rD1oY with infrastructure and DevOps teams to ensure production-grade https://jobeax.com/link/cCikzt64yRV5ImFu Management & Technical LeadershipWork closely with business stakeholders to understand requirements and define solution https://jobeax.com/link/LNgj5IznBBCIMmQJ technical discussions and provide architectural https://jobeax.com/link/jdHljEoqqROta9iV complex technical concepts to both technical and non-technical https://jobeax.com/link/2Qj2K0WADzV2O3Bd 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 Deployment

Qualifications

Bachelor'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 https://jobeax.com/link/vRMb3ltISSzLVRvA experience delivering end-to-end solutions from data acquisit

Qualifications

B.E

Additional Information

6 to 8 years