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Production experience with technologies like HDFS, YARN, Hive, Spark, Kafka, Oozie/Airflow, Amazon Web Services (AWS), Docker/Kubernetes, Snowflake. Strong background in math, statistics, computer science, data science, or related disciplines.
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The Senior Data Platform Developer, Infrastructure supports the existing big data infrastructure on Google Cloud Platform, Google BigQuery ensuring data is continuously and promptly available for analysis by the data science team.
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Experience with streaming platforms and data engineering such as Apache Kafka or Apache Spark a plus. Experience with cloud providers like Azure, AWS, and/or GCP and familiarity with serverless technologies such as AWS Lambda, Azure Functions, or Google Cloud Functions.
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Machine learning models, Algorithms, TensorFlow, PyTorch, Scikit-learn, Hadoop, Spark, AWS, GCP, Azure, Data pre-processing, AI, Work Order Anomaly POC, Cross Bore POC and ChatBot, Data management.
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3+ years of experience with Big Data tools/technologies like Hadoop, Spark, Spark SQL, Kafka, Sqoop, Hive, S3, HDFS, or. Experience with real-time data processing and streaming techniques using Spark structured streaming and Kafka.
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Softrams is a Maryland and Virginia-based small business information technology, consulting, and solutions provider specializing in emerging technologies for UX/UI, mobile apps, DevOps, big data analytics, data science, and cyber security.
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Skills Required: Requires experience in the following: Agile SDLC; Application Architecture Disciplines; Jenkins; NodeJS; Spring; Java; Python; React; Shell Scripting; SQL; REST; Maven; Apache Ant; JSON; Apache Zookeeper; AWS Cloud Services; Oracle; Apache Spark; Splunk; GIT; Junit; Unit Testing; and User Acceptance Testing.
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Experienced in CI/CD and MS domains: configuration management and/or automation tools, and/or continuous-integration tools (Jenkins, Git, Nexus), and/or Continuous deployment knowledge on the most popular cloud computing platforms (OpenShift, AWS, Azure and/or GCP), familiarity with several third-party tools (Postgres, Cassandra, Helm, Groovy, Couchbase.
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Infrastructure as Code: Design and implement infrastructure as code (IaC) using tools such as AWS CloudFormation or Terraform to automate the provisioning and management of cloud resources.
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Networking/Security: Should prepare the network/firewall flows between the systems and provide documentation and work with AWS Cloud Managed Services team. Cloud Architecture Design: Lead the design and implementation of scalable and secure cloud architectures using AWS. Ensure that solutions are modular, efficient, and aligned with best practices in cloud computing.
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Cloud Monitoring: Experience with cloud monitoring tools and practices, including AWS CloudWatch and other related technologies. Required 10 Years Experience with cloud monitoring tools and practices, including AWS CloudWatch and other related technologies.
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Infrastructure as Code: Proven experience with infrastructure as code (IaC) tools such as AWS CloudFormation or Terraform. Your role will involve leveraging your expertise in AWS, Microservices, React or Angular UI, and advanced databases like PostgreSQL, and Elastic search.
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Broad hands on experience in AWS Cloud serverless components and ability to build and maintain cloud data processing systems (i.e. ECS, EKS, S3, Lambda, SQS/SNS, PostgreSQL, Dynamo, Sagemaker, Athena, etc.
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Experience: Minimum of 10+ years in IT software architecture and development with significant expertise in AWS, Java microservices, and modern UI frameworks (React or Angular). Database Expertise: Extensive experience with PostgreSQL, Document DB, and Elasticsearch, including designing and managing complex data models.
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Preferred Certifications such as Veritas Certified Professional (VCP), MCSE, VCAP, RHCE, and Any cloud certs (AWS, Google Cloud Platform, Azure), etc. Ensure data integrity, security, and availability through proactive monitoring and management.
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