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Showing 8 jobs
Skills:
Dynamics 365, Azure Synapse, Power Bi, Analytics Solutions, Azure Data Engineering, Microsoft Fabric, AI GenAI capabilities
Skills:
data engineering , snowflake , Informatica, Change management, Python, Apis, Power Bi, Azure Data Factory, Fivetran, Observability, Data quality governance, Incident problem management, ETL ELT technologies, AI GenAI tools, Looker, RPA platforms, Rca, Metadata lineage, DataOps, dbt, CI CD pipelines, Workflow automation, Automated platform controls, Platform reliability engineering
Skills:
data engineering , snowflake , , Tableau, Power Bi, Sql, Python, Statistical Analysis, Machine Learning, R, Azure Stack services
Skills:
Sql, Databricks, Aws S3, Tableau, Power Bi, Python, PostgreSQL, Function Calling, Streamlit, DuckDB, Google Gemini, Prompt Engineering, OpenAI GPT, Pydantic, Agentic AI, Multi-Agent Architectures, Structured Outputs, Anthropic Claude, ETL ELT Pipeline Development
Skills:
containerization , Hadoop Ecosystem, Java, Tableau, Data Visualization, Kafka, Machine Learning, Power Bi, MySQL, Bi Tools, Scala, PostgreSQL, Flume, Big Data Technologies, Shell scripting, Data Modeling, RDBMS, Google Cloud, AWS, Distributed Systems, Python, Azure, Statistical Analysis, Jenkins, Devops Tools, MongoDB, Spark, large-scale application development, CI CD pipelines, R, NoSQL databases
Skills:
snowflake , Data Security, Power Bi, Tableau, Data Governance, Data Modeling, Etl, AWS, Data virtualization, Agentic AI frameworks, Data mesh, GitHub Copilot, Starburst, Federated querying, Prompt Engineering, Data fabric
Skills:
Sql, Databricks, Tableau, Power Bi, PostgreSQL, Aws S3, Metadata Management, Python, Data Modeling, OpenAI GPT, DuckDB, Streamlit, Prompt Engineering, Pydantic, Interactive Dashboards, Enterprise Data Platforms, Data Quality Frameworks, Multi-Agent Architectures, Semantic Data Models, Function Calling, Google Gemini, Conversational Analytics, Business Intelligence, Agentic AI, Structured Outputs, Anthropic Claude, ETL ELT Pipeline Development
Skills:
Knowledge of MLOps AIOps model monitoring and AI observability frameworks, Experience supporting Generative AI Machine Learning or AI platform initiatives, Analytics Dashboarding BI, Creating executive dashboards for GenAI insights usage performance cost reliability, Relevant cloud certifications Azure Data Engineer Databricks Snowflake, Data Engineering Pipeline Development, Building scalable batch and streaming pipelines for GenAI data telemetry usage model outputs
