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Strong knowledge of AWS services such as EC2, S3, RDS, Lambda, VPC, IAM, etc. AWS certifications such as AWS Certified Solutions Architect - Professional are a plus. Integrate and champion DevSecOps practices to ensure security is embedded throughout the development and operational processes.
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This position is accountable for all Configuration and Data Management personnel and business support for Spectral Solutions South (S3). Responsible for S3 CM/DM team performance against established goals Quarterly performance assessment Professional development, retention and engagement Continuous improvement.
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Cloudera/Hortonworks/AWS EMR, S3 experience a plus. Hands-on experience with the Hadoop eco-system (HDFS, MapReduce, Hive, Pig, Impala, Spark, Kafka, Kudu, Solr) Experience with Spark/Storm/Kafka or equivalent streaming/batch processing and event based messaging.
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2+ years with AWS Experience (EC2, S3, RDS, SQS, SNS, DynamoDb, Lambda) Experience using container & serverless architectures (Docker, Kubernetes, AWS Lambda, AWS ECS) Experienced with implementing Microservices using Spring Boot, Spring Webflux, Kafka, Redis.
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Proficient in full AWS suite (EC2, S3, ALB, Route53, Global Accelerator, ECS/Fargate, Lambda. All qualified applicants will receive equal consideration for employment without regard to age, gender identity (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, race, color, religion, creed, national origin, disability, veteran status, citizenship or marital status.
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S3, ECS, EC2, VPC, and RDS)You have a strong understanding of cloud security (specifically AWS IAM and AWS Cloud Security Framework)You have hands-on experience building and maintaining CI/CD processes (preferably CircleCI and AWS CodePipeline)You understand observability and have implemented it (preferably with DataDog)You have some experience with Ruby on RailsYou have a strong understanding of web application securityYour experience with Kubernetes (EKS) is a plusAdditional Information.
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Work on many AWS services like Step Functions, DynamoDB, Lambda, EC2, RDS, ElasticSearch, S3 and technologies such as Columnar DBs, Go, Python, GraphQL and Kubernetes. Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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Implement AWS services, including EC2, S3, Lambda, API Gateway, DynamoDB, and others, to support scalable and reliable solutions. Familiarity with AWS services, especially EC2, S3, Lambda, API Gateway, and DynamoDB.
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2+ years of experience in the AWS Ecosystem in at least one of the following: ECS/Fargate, Lambda, ELB, RT53, S3, Cloudwatch, Aurora, DynamoDB, RDS or Elasticache. Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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Experience in Cloud data platforms - Amazon Web Services products such as S3 and Redshift; Data Bricks. Business Intelligence tools such as Tableau, Cognos and Alteryx. As a Data Management Lead within the JPMorgan Planning and Analysis (P&A) organization, you will be building and managing our data platform to provide our P&A stakeholders with a one stop shop for all their data needs.
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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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Knowledge of commercial cloud service, preferably AWS (C2S, S3, RDS) Job DescriptionSenior Software Engineer with Database experience to support the Data Transformation Solutions (DTS) TTO which provides normalization of cyber security data and automation of threat intelligence.
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Intimately familiar with SaaS architectures, cloud storage (EBS, S3), security, networking, authentication (OAuth2, SSO) and deployment. BONUS: Experienced in working with systems like Docker, Kubernetes, Terraform, Redis, Kafka, Elasticsearch, Logstash and Airflow, Datadog.
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Extensive experience with AWS- API Gateway, Lambda, EC2, S3 Plus on RDS, ECS, SQS and EventBright. Extensive experience with AWS- API Gateway, Lambda, EC2, S3 Plus on RDS, ECS, SQS and EventBright.
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Our CI/CD pipelines are implemented on top of Jenkins and deployed to AWS. Some of the other technologies we have in our ecosystem are Docker, ECS/Fargate, S3, Lambdas, and ALBs. The team is organized as an agile team working in the SAFe construct and runs daily standups, 2-week sprints, and plans work with the rest of the platform in 3-sprint product increments.
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