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Hands-on experience with Postgres SQL, RedShift, Redshift spectrum, AWS Glue, Athena, Snowflake utilities, Snow SQL, Snow Pipe, AWS Lambda model techniques using Python. Experience in Data Migration from RDBMS to Redshift/Snowflake cloud data warehouse.
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1+ years of experience working on AWS (Kinesis / S3 / RedShift / DMS / Athena ). Experience with Compute technologies like EMR and Databricks. RVO Health was created by joining teams from both Red Ventures and UnitedHealth Group’s Optum Health.
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Experience working job orchestration (eg., Airflow / Databricks Workflows) Experience with other Data platforms like DBT, Snowflake, DeltaLake, etc. 3+ years of experience working on Spark (RDDs / Data Frames / Dataset API) using Scala/Python to build and maintain complex ETL pipelines.
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Design, configure, and manage Data Warehouse Database Systems on Cloud (AWS Redshift, EMR HBase and Snowflake). At least 3 years of experience managing Cloud Data Warehouse database technologies, such as AWS Redshift, Snowflake, Databricks or similar.
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6+ years of experience designing and building solutions utilizing various Cloud services such as EC2, S3, EMR, Kinesis, RDS, Redshift/Spectrum, Lambda, Glue, Athena, API gateway, etc. 6+ years of experience in SQL, data transformations, statistical analysis, and troubleshooting across more than one Database Platform (Cassandra, MySQL, Snowflake, PostgreSQL, Redshift, Azure SQL Data Warehouse, Databricks, etc.
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Data: Scala, Spark, EMR, Kafka, Airflow, Yarn, Terraform Cloud, Snowflake, Athena, Redshift. Data: Scala, Spark, EMR, Kafka, Airflow, Yarn, Terraform Cloud, Snowflake, Athena, Redshift. Front-end: JavaScript, React, Styled Components, Apollo.
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The tech stack is primarily Java, AWS serverless, EMR, EC2, and ECS with services written in Scala, Spark, and Python, and uses Snowflake as our Database. Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake.
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3+ years of experience designing and building solutions utilizing various Cloud services such as EC2, S3, EMR, Kinesis, RDS, Redshift/Spectrum, Lambda, Glue, Athena, API gateway, etc. 3+ years of experience in SQL, data transformations, statistical analysis, and troubleshooting across more than one Database Platform (Cassandra, MySQL, Snowflake, PostgreSQL, Redshift, Azure SQL Data Warehouse, Databricks, etc.
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Utilize programming languages like Scala, Java, Python, SQL and GO and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. You will be working with Scala, Morphir IR, Go, Python, AWS (Fargate, EMR, Glue, S3), Cassandra, DynamoDB, Snowflake etc., and will have great opportunities to learn and contribute to the success of the platform.
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AWS cloud services such as EC2, EMR, RDS, Redshift, Glue, SageMaker (or Azure and GCP equivalents) Data science tools/languages: R, R Studio, Python (data preparation and analysis libraries), Databricks, etc.
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Experience with AWS services such as Athena, Glue, DataBrew, Lambda, S3, DynamoDB NoSQL, Relational Database Service (RDS), Amazon EMR and Amazon Redshift, SageMaker, QuickSight, Kinesis, OpenSearch, Deep Learning AMIs, Lake Formation.
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Experience with distributed data and computing tools such as Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka. Experience with data warehousing such as AWS Redshift, MySQL, or Snowflake.
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Experience with data warehousing such as Redshift Snowflake or Dremio. · AWS experience particularly data services such as Glue Lake Formation EMR Event-Bridge Athena. Python, MWAA (Airflow), Spark Optimization, AWS Glue, AWS EC2, Apache Spark.
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Performing data integration using, cloud data integration platforms, tools and languages such as AWS, Redshift, EMR, Python and Object Oriented Programming constructs. Experience: 5 years of technical experience performing ETL development; developing and scheduling batch jobs; developing UNIX Shell Scripts for data validation and reconciliation; designing relational and dimensional databases; performing data integration in AWS using Python and HIVE; developing Python data integration and validation scripts; and performing real-time data integration using messaging queue(MQ.
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At least two years experience in implementing, automating and integrating Big Data infrastructure resources like S3, Redshift, Aurora, Kinesis, Kafka, EMR, Lambda, SNS, Azure Blob Storage Account ,SQL Data Warehouse, Microsoft Event Hubs , HDInsights, Azure Databricks, Azure Functions,Event Grid, Data Lake Analytics in an ephemeral/transient and in an elastic manner.
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