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Understanding or hands on experience with Lex, Nuance Mix, Dialog Flow, AWS and Google Cloud, R, Power BI, Tableau, Alteryx; Analyzing Conversational (Chats, Emails, Messages and Calls) data, and the use of this data to build Natural Language (NLP) modeling pipelines for intent classification, training & deploying conversational AI systems, IVR, virtual assistants, chatbots etc.
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In this context knowledge of AWS Cloud formation/Azure Devops/Terraform helpful to run multi-server application stacks. Deep knowledge of AWS technologies such as EC2, ELB, S3, VPC, EBS, RDS, AMIs, IAM, FSX, Active Directory, DNS, CloudWatch, Lambda, ECS/EKS etc.
$160,600 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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This role is crucial in maintaining and developing informatics applications, managing data warehouses, and working with AWS/Snowflake data cloud environments. This includes developing and interacting with clinical systems (e.g., Cerner, EPIC), data warehouses, and analytics, national terminology vocabularies (UMLS, RxNorm, LOINC, FDB), health information exchange (e.g. Tiger HIE), clinical research systems (Ex. REDCap, OnCore, Velos), and external registries and state/national datasets.
$108,035 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Proficiency in AWS, Docker, Kubernetes, Elasticsearch, UI design, and middleware connectors is essential. This is a full stack position using corporate datastores as well as other technologies such as AWS, Docker, Kubernetes, and Elasticsearch.
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The Global Partnership Lead will play a pivotal role in driving growth and business development by enhancing and expanding strategic partnerships with key industry players such as AWS, Snowflake, and Databricks.
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Experience as a Database Administrator to include tasks such as data migration, data replication, user administration, backup and recovery, performance tuning, issue investigation, issue resolution, and general administration.
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Experienced in cloud platforms (AWS, Azure, Google Cloud) and skilled in working with various databases and data warehouses for efficient data processing and storage. Proficient in Data bricks, Python, Pyspark, Scala for developing and maintaining data engineering pipelines, with expertise in Apache Spark, Flink, and containerization.
$70 an hourRemoteExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Experience with Snowflake, SQL Server, or other data warehouse technologies such as BigQuery, AWS Aurora/Redshift, Microsoft Synapse, or Oracle. 8+ years of relevant experience as a Data Engineering Professional (3-5 yrs for Junior.
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Training & Certifications: Splunk, AWS, Big Data/Cloudera, VMWare, Scrum Master. Praxis University: Cyber Research, Data Analytics, IoT, AWS and RedHat course offerings and hands-on training.
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Nice To Have:AWS DataSync AWS Lake Formation AWS Redshift Scala Vue.js Hive Kafka Oozie Sqoop Git IntelliJ. Responsibilities may also include participation in component and data architecture design, performance monitoring, product evaluation and buy versus build recommendations.
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Data processing/data transformation using ETL/ELT tools such as DBT (Data Build Tool), or Databricks. Experience working with cloud data solutions (Delta Lake, Iceberg, Hudi, Snowflake, Redshift or equivalent.
$236,500Full-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Master’s degree or relevant certifications (e.g., TOGAF, AWS Certified Solutions Architect) is a plus. Iron Mountain helps lower cost and risk, comply with regulations, recover from disaster, and enable digital and sustainable solutions, whether in information management, digital transformation, secure storage and destruction, data center operations, cloud services, or art storage and logistics.
$102,500 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience with distributed data platforms and technologies (e.g., Hadoop, Spark, Kafka) and cloud-based data services (e.g., AWS, Azure, GCP) Candidates have bachelors degree in Engineering or Computer Science with 14 years of experience in data engineering or a related role.
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Net, C#, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Python, Data Modeling, SQL, SSIS, SSAS, SSRS, Power Automate, Power Platform, AI Builder, Power Apps, Blue Prism, Automation Anywhere, UiPath Studio, Orchestrator, ERP, QuickBooks, SAP, NetSuite, Oracle, API, JSON, XML, Web Services, SOAP, Postman, Fiddler, Integration, Custom Activities, DLL, Insight, Automation Hub, Task Capture.
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SYSTEMTEC is seeking an AWS Big Data Engineer for a hybrid onsite opportunity. AWS Big Data Engineer! Experience in cloud-based technologies AWS Services Amazon Cognito, Amazon API Gateway, AWS Amplify, Amazon RDS, Postgre SQL, AWS Lambda, Amazon CloudFront, CloudWatch, DynamoDB, SES (Simple Email Service), Event Bridge, WAF, KMS, Secrets Manager or Parameter Store, Certificate Manager, Route 53, S3 Spark Python Node.js.
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