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Showing 10 jobs
Skills:
Sql, Python, Data Quality Principles, Scalable Pipeline Design, Synthetic data generation, Active learning data loop design, Data lakehouse, Annotation platform integration, Data Versioning Lineage, ML Data Lifecycle Awareness, Data Built Tool, Feature store, Data Load Tool, MES LIMS system integration
Skills:
Sql, Python, Data Quality Principles, Scalable Pipeline Design, Synthetic data generation, Active learning data loop design, Data lakehouse, Annotation platform integration, Data Versioning Lineage, ML Data Lifecycle Awareness, Data Built Tool, Feature store, Data Load Tool, MES LIMS system integration
Skills:
snowflake , Pyspark, Apache Spark, Kafka, Sql, Google Cloud, Apache Airflow, MLops, Microsoft Azure, Databricks, Python, AWS, LLMOps, Azure AI Search
Skills:
Uipath, Microsoft 365, Power Bi, Power Automate, Excel, Sql, low-code solutions, Powerpoint, Teams, GenAI concepts, Copilot Studio
Skills:
data engineering , snowflake , Machine Learning, Pyspark, Kafka, Apache Airflow, Microsoft Azure, Data Governance, Python, AWS, Data Lineage, Apache Spark, Sql, Google Cloud, Data Quality, MLops, Databricks, Cloud Platforms, Azure AI Search, Generative AI, LLMOps, Ai, Access Management, Data Platforms
Skills:
Vim, Git, C, Shell Scripting, Python, Numpy, Linux, emacs
Skills:
snowflake , Snowpipe, ELT, Streams, Python, Power Bi, Sql, Git, Azure Data Factory, Etl, Dynamic Tables, Secure Data Sharing, Troubleshooting, Reconciliation, data marts, Snowpark, data classification, Monitoring, Tasks, Azure Blob Storage, rbac, Data Quality Testing, CI/CD, Automated Deployment
Skills:
snowflake , Pyspark, PostgreSQL, Kafka, Docker, Openshift, Oracle, Python, Java, Hadoop, Scala, Apache Spark, Sql, Jenkins, Hive, Cloudera, Databricks, MongoDB, Kubernetes, Aws S3, Airflow, LangGraph, LangChain, Generative AI, LLMs, Vector databases, RAG
Skills:
Ms Excel, Confluence, Power Bi, Data Warehousing, Data Governance, MS PowerPoint, Jira, MS Project, ETL pipelines
Skills:
Python Programming, LLMs, algorithmic fairness, AI safety, cloud deployments for ML models, RAI and risk assessment principles, prompt engineering
