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Job Title AWS Engineer Relevant Experience & Experience Required (in Yrs) 6 Years Key words to search in resume AWS EC2, S3, RDS, ELB, VPC, AWS Service Catalog, Terraform, IAM Policies, RHEL, IaC, IaaS, PaaS, Python, Lambda, Athena, Docker, Kubernetes Technical/Functional Skills -MUST HAVE SKILLS be able to work hand-on as well as with teams in multiple locations to implement the solution.
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Demonstrated multi-year experience with AWS tech stack (Glue, S3, Athena, Redshift), Salesforce, Informatica, Snowflake, Tableau and MuleSoft. Experience with Salesforce, AWS Redshift, Snowflake, Informatica, Tableau, MuleSoft.
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1+ years of experience working on AWS (Kinesis / S3 / RedShift / DMS / Athena ). RVO Health was created by joining teams from both Red Ventures and UnitedHealth Group’s Optum Health. Experience working job orchestration (eg., Airflow / Databricks Workflows.
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Experience with other Data platforms like DBT, Snowflake, DeltaLake, etc. Experience with Compute technologies like EMR and Databricks. 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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Experience with Amazon Web Services (AWS) cloud computing platforms, including Lambda, EC2, SQS, S3, Aurora, Athena, Fargate, ECS, and IAM. Most of these projects have a very heavy focus on geospatial data and are built using Esri and AWS cloud technologies.
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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. Required Skills:Description:We are looking for a Cloud Data Engineer, who will be responsible to plan, design, develop and maintain the data architecture, data models, data pipelines and standards for various Data Integration & Data Lake and Data Warehouse projects in the AWS Cloud.
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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 CI/CD tools such as Jenkins or AWS CodeBuild, Terraform, etc.
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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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Experience with cloud infrastructure services, such as AWS(S3, EMR, EC2, Glue, Athena, SQS, SNS) or GCP. Experience with data processing technologies and tools, such as Spark, Hadoop(HDFS, Hive, MapReduce), Athena, Airflow, Luigi.
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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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Proven work experience as a Data Solution Architect or similar role in building data architecture, Data models, Pipeline using AWS services (S3, Lambda, Glue, Athena, QuickSight, etc.) Designing enterprise data platforms on cloud (Azure/AWS/GCP) including services like ETL pipelines, Data Modeling, Visualization, Data Governance, RDM/MDM, etc.
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4+ years using cloud-based warehouse/data lake (Preferably in Azure Databricks metastores/catalogs or similar stacks such as AWS Athena/Redshift, GCP Bigquery, Azure ADLS, etc) 4+ years using a cloud-based computing/analytics platform (Preferably in Azure Databricks or similar stacks such as Azure DataFactory, AWS Lambda/Glue, GCP DataFlow, Databricks, etc.
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Advanced in SQL (AWS Athena, Presto, PostgreSQL or other SQL) Prior experience or eagerness to learn Amazon Web Service tools (S3, Athena, Lambda, and Cloudwatch, among others) Python experience, specifically relating to external API integrations and simple data processing using AWS Lambda or other serverless cloud platforms.
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The ideal candidate will have extensive experience in PySpark and SQL, and have worked with data pipelines using Amazon EMR or Amazon Glue. The candidate must also have experience in data modeling and end-user querying using Amazon Redshift or Snowflake, Amazon Athena, Presto, and orchestration experience using Airflow.
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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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