Data platforms Databricks, SQL for data analysis and validation, Data governance frameworks DAMA-DMBOK, Data catalog tools Collibra

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

data engineering , snowflake , Machine Learning, Hadoop, Alteryx, Apache Spark, Sql, ELT, Predictive Modeling, Python, Etl, R

snowflake , Data Quality, Data Modelling, Sql, Agent-based systems, Retrieval systems and semantic search, Metadata-driven AI applications, Agent skill development, Knowledge graphs

snowflake , Machine Learning, Apis, Sql, Tensorflow, Pytorch, XGBoost, Software Services, Python, production-grade AI applications, generative AI, cloud platforms, retrieval-augmented generation, Scikit-Learn, AI methodologies, MLOps practices, Statistical Modeling, LLM-based applications

.Net Core, Web Api, Kafka, Mapreduce, Nosql, Entity Framework, Python, Hadoop, Sql, Data Warehousing Design, Hive, Cloud, Powerbi, Spark, MongoDB, Azure, Airflow, Azure Database performance tuning, MLflow, Zilliz, LLM Pipelines, Kubeflow, Data Quality testing automation, RAG Architectures, SageMaker Pipelines, Micro Services Architecture, ASP.NET Core, Milvus