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Design and implementing data ingestion pipelines from multiple sources using Azure Databricks. Bachelor's degree and at least one year of experience designing, developing, deploying and/or supporting data pipelines, preferably in Databricks.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Cloud-based data & analytics frameworks (e.g., Azure, Databricks, Snowflake) Data science & advanced analytical techniques and technologies (e.g., R, Python, Databricks) Cloud-based data & analytics frameworks (e.g., Azure, Databricks, Snowflake.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Familiarity with ETL data engineering techniques using PySpark within Databricks/Snowflake. Familiarity with ETL data engineering techniques using PySpark within Databricks/Snowflake. Experience with programming languages (e.g. R, Python, MATLAB.) and NLP model development.
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The VP is responsible for defining, changing, and adapting TPG’s ways of working to optimize the accelerated delivery of next generation planning solutions. Collaborate with the TPG enterprise architects on an architecture defining our new data driven forecasting & planning strategy.
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Job Title: Technical ArchitectDuration: Full Time/ PermanentJob Location: Bridgewater, NJ
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Skilled in modern data platforms (Azure Synapse, Databricks, Redshift, Big Query, Snowflake). Skilled in modern data platforms (Azure Synapse, Databricks, Redshift, Big Query, Snowflake). Proficiency in Python, PySpark Scala, Java, SQL, Airflow, dbt.
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Build automation for CI/CD and SaaS delivery on AWS, Snowflake and Databricks. Build automation for CI/CD and SaaS delivery on AWS, Snowflake and Databricks. Configure and maintain systems including but not limited to Kubernetes (EKS and ArgoCD), Kafka, Spark, ElasticSearch/OpenSearch.
RemoteExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Implement data processing pipelines using Azure Data Factory, Databricks, Azure Machine Learning, Azure Logic Apps, Azure Function Apps, Azure Kubernetes container and other big data services. Experience with data warehouse and big data technologies such as Azure Synapse Analytics, Azure Data Lake Storage, Spark, Kafka, Databricks, and Containers.
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Develop algorithms and AI models using Python, PySpark, and AWS Databricks to extract meaningful patterns from large datasets. Develop algorithms and AI models using Python, PySpark, and AWS Databricks to extract meaningful patterns from large datasets.
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Improve scalability and performance of the platform through integration with big data frameworks (Databricks, Snowflake, etc. Our patented technology is based on over 11 years of research at the California Institute of Technology and NASA Jet Propulsion Laboratory.
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