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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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3+ years of hands-on experience with AWS services like S3, EMR, Glue, EC2, ECS, IAM, Cloudformation, Athena, Lambda, and other AWS services. 3+ years of experience with data applications and tools (Snowflake, Databricks, Spark, EMR, Presto, Datadog, DBT, etc.
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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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Proven experience building enterprise-grade software in a cloud-native environment (GCP or AWS) using cloud services such as GCS/S3, Dataflow/Glue, Dataproc/EMR, Cloud Function/Lambda, BigQuery/Athena, BigTable/Dynamo.
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Administration experience of distributed computation and streaming frameworks, like Kafka, Cassandra, Elasticsearch, Flink, Storm, Spark, and cloud services EMR, Dataproc, Elasticache, AWS RDS, GCP SQL 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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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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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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Experience with cloud infrastructure services, such as AWS(S3, EMR, EC2, Glue, Athena, SQS, SNS) or GCP. A pioneer of the geo-location space, Foursquare’s location tech stack is being utilized by our mobile apps CityGuide and Swarm, as well as the world’s largest enterprises and most recognizable brands, like Amazon, Microsoft, Samsung, Spotify, Uber, Airbnb and others.
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Knowledge of Amazon Web Services (AWS) – mainly S3, EC2, EMR, and NiFi. Knowledge of Palo Alto Nex-Gen firewall, MS PowerShell, and cloud solutions. Certification in any of the following preferred: CISSP, CISM, CISA, Security +, or equivalent Additional security industry training such as SANS or Offensive Security preferred Knowledge of information security concepts and technologies, including cyber risk, third party risk, and security governance Knowledge of a wide range of security/risk management frameworks like NIST, CIS 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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Must Have Requirements:Hands-on software development experience with Java, J2EE, Python, Spring, Spring Boot, Hibernate; REST Services and Advanced SQL, AWS cloud services, including EC2 ECS, SQS, S3, Lambda, RDS and EMR.
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AWS Stack – S3, Glue, EMR, Redshift, DynamoDB, Kinesis, Lambda, Athena etc. Strong Programming skills with good understanding of concepts such as OOPS, design patterns, master data management & Ontology development.
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Experience with various AWS services, EMR Clusters, Serverless, S3, Redshift, IAM & Athena etc., Extensive hands-on experience with Apache Spark, Kafka streaming for large-scale data processing and analytics.
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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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