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Expert level working knowledge of Data Lake technologies, data storage formats (Parquet, ORC, Avro) and query engines (BigQuery, Athena, Presto, Dremio), data schemas, optimization of queries and associated concepts for building optimized solutions at scale.
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Demonstrated experience with AWS services (e.g., EC2, RDS, S3, Lambda, Glue, Redshift, Athena, EMR) and data pipeline tools (e.g., Apache Airflow, Luigi, etc). Demonstrated experience with AWS services (e.g., EC2, RDS, S3, Lambda, Glue, Redshift, Athena, EMR) and data pipeline tools (e.g., Apache Airflow, Luigi, etc.
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Adds new patients to the Athena system and updates established patient information, including Demos/ insurance, etc. Experience using Athena. utilizing Athena messages in the system vs.
$20 - $24 an hourFull-timeExpandUpdated 4 days ago - UpvoteDownvoteShare Job
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Support Specialists prepping participant for exam and ensuring history of current conditions is captured; Specialist has current orders and relevant information related to appointment, document procedures and care provided by the Specialist in Athena.
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Familiar with Big Data applications, DBs and BI tools (such as: AWS Athena, BigQuery, Snowflake) and Visualization tools (such as Tableau) We are pioneers in the emerging field of Connected Vehicle Data. Otonomo's Connected Vehicle Data is utilized in a variety of verticals including parking apps, insurtech, fintech, navigation apps, weather prediction services, hazard and emergency services, traffic management, and more.
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3+ years of experience with Cloud based technologies – Databricks, S3, Azure Blob Storage, Notebooks, AWS EMR, Athena, Glue etc. 3+ years of experience with Cloud based technologies – Databricks, S3, Azure Blob Storage, Notebooks, AWS EMR, Athena, Glue etc.
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At least 5 years of experience in the medical device IVD industry, with a strong understanding of FDA regulatory standards and compliance requirements. Minimum of 7 years of experience in data engineering, with expertise in developing and managing automated data pipelines, AWS cloud infrastructure, databases, and workflow engines.
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