Tasks:
- * Analyze structured and unstructured data for actionable insights
- * Apply advanced analytics to support business decisions
- * Build and maintain batch and real-time ETL/ELT pipelines
- * Build LLM-powered applications and intelligent assistants
- * Deploy and monitor AI and analytics solutions across cloud and on-premises environments
- * Design experiments and evaluate model and solution performance
- * Design scalable data ingestion and processing workflows
- * Develop agentic AI workflows and MCP integrations
- * Develop dashboards and data visualizations
- * Enforce data access policies, security, and data lineage
- * Implement automated data quality rules and validation
- * Implement RAG and enterprise knowledge solutions
- * Integrate enterprise databases, APIs, cloud platforms, files, and streaming sources
- * Orchestrate multi-task data workflows
- * Translate technical findings into business recommendations
Perks/Benefits:
Skills/Tech stack required:
[Agentic AI] [Apache Airflow] [Auto Loader] [AWS] [Azure] [Azure Data] [Azure Databricks] [Azure Data Factory] [CI/CD] [Databricks Auto Loader] [Databricks Unity] [Databricks Unity Catalog] [Databricks Workflows] [Data Engineering] [Data Factory] [Data Governance] [Data Mining] [Data pipeline] [Data pipeline design] [Data Quality] [Data Quality Testing] [Data Security] [Data Warehousing] [Delta Lake] [Delta Live Tables] [Docker] [ETL/ELT] [Feature Engineering] [Git] [Google Cloud] [Google Cloud Platform] [Google Cloud Platform (GCP)] [Great Expectations] [Kubernetes] [Language Models (LLMs)] [Large Language Models] [Large Language Models (LLMs)] [Looker] [Machine Learning] [Model Context Protocol] [Model Context Protocol MCP] [Model Evaluation] [Pipeline Design] [Power BI] [Predictive Analytics] [Prompt engineering] [Protocol MCP] [PySpark] [Python] [Quality testing] [REST APIs] [Retrieval-Augmented Generation] [Retrieval-Augmented Generation RAG] [SQL] [Statistical modeling] [Tableau] [Unity Catalog]
Educational requirements:
[Bachelor's Degree]
Role(s):
[AI Engineer] [Data Engineer] [Data Scientist] [Engineer] [Learning Engineer] [Machine Learning Engineer] [Scientist] [Senior Data Scientist]