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Solution Engineer Senior - Data Scientist

Cummins · Pune, Maharashtra, India

~₹20L (est.)6–12 yrs experiencefull_timePosted Yesterday
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Job description

**Key Responsibilities:** - Design, build, and support enterprise data, analytics, AI, and machine learning solutions using the Databricks Lakehouse Platform - Design and Develop scalable data pipelines, AI/BI dashboards, **Databricks Apps, Lake base applications**, and data products to meet business and analytical requirements. - Collaborate with business stakeholders, architects, and product teams to define functional and technical solution requirements. - Design enterprise data architectures, integrations, and workflows that align with governance, security, and performance standards. - Develop and operationalize machine learning, Generative AI, RAG, and agentic AI solutions using Databricks AI capabilities. - Deliver trusted analytics and insights through governed data products, dashboards, and self-service analytics. - Evaluate existing application ecosystems (including Oracle Supply Chain Planning and S&OP) and recommend modernization opportunities using Databricks. - Lead solution design, implementation, testing, support, and continuous improvement while ensuring best practices for scalability, reliability, and cost optimization **\\***Qualifications and Competencies **Experience:** - 5+ years of experience designing and delivering enterprise data, analytics, AI, or engineering solutions. - Proven experience with the **Databricks Lakehouse Platform**, including **Unity Catalog**, Delta Lake, Databricks SQL, AI/BI Dashboards, Databricks Apps, Lakebase, Workflows, and MLflow. - Hands-on experience building production-grade **GenAI**, RAG, multimodal AI, agentic workflows, Vector Search, and MLOps solutions using Databricks, **Azure** OpenAI, AWS, Azure, or GCP. - Strong proficiency in **PySpark, SQL, Python**, data engineering, machine learning, and cloud-native architectures. - Experience with enterprise application integration, Agile delivery, and the full software development lifecycle. - Excellent stakeholder management, problem-solving, and communication skills.