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Provide technical expertise and guidance on the selection, and hands-on implementation, and optimization of big data platforms, tools, and technologies across multiple cloud environments (e.g., AWS, Azure, GCP, Snowflake, etc.
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Seeking experienced and dynamic Container Platform Engineer lead to provide hands-on technical experience to engineer, manage, and codify our AWS containers footprint, Designing, implementing, and managing container orchestration platforms such as Kubernetes, Amazon EKS, or ECS.
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Hands on experience with modern cloud data warehouse and engineering for one or more of the following cloud providers - GCP (Big Query, Vertex, Cognitive Services), Snowflake, Azure (Synapse, Dynamo, Cosmos, Azure ML, Power BI), AWS (Redshift, Sage maker), Tableau.
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Hands on development in Python, PL/SQL, SQL, Shell Scripting, AutoSys. Hands on experience working in cloud data platforms such as AWS Redshift, Spark based data engineering solutions.
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Strong knowledge of hybrid cloud, AWS, Google Cloud Platform, Azure and EntraID/Azure AD, OpenShift, OpenStack Keystone. Strong knowledge of hybrid cloud, AWS, Google Cloud Platform, Azure and EntraID/Azure AD, OpenShift, Openstack Keystone.
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This is a hands-on cloud software developer/engineering position and requires the ability to proficiently and predictably build and deploy custom applications in AWS cloud.
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Understanding of cloud-based platforms (Azure or AWS), full-stack web development skills (front-end & back-end), and Machine learning/Artificial Intelligence. Knowledge/Experience with the following platforms/frameworks - Serverless technologies, IoT frameworks (Azure or AWS), front-end web framework and libraries, databases & storage, web testing frameworks, API development, CI/CD, DevSecOps, C#, Java, Python, TypeScript/JavaScript, cloud-based ML libraries and frameworks.
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Hybrid (WFH/Remote - Monday and Friday) & (In Office - Tuesday thru Thursday) Required Skills REQUIRED SKILLS Extensive hands-on experience including design and implementation across broad range of database services on Amazon Web Services (AWS.
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Strong experience in AWS and Azure cloud services, with hands-on experience in integrating cloud storage and compute services with Databricks. Solid experience with big data technologies (Apache Spark, Hadoop, Kafka) and cloud services (AWS, Azure) related to data processing and storage.
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Hands-on experience with cloud security tools such as AWS Security Hub, Azure Security Center, or GCP Security Command Center · Proficient in scripting languages such as Python or Bash · General experience working within ITSM processes (Change, Incident, Problem, Request management) in an Enterprise context · Certifications such as AWS Certified Security Specialty, Azure Security Engineer Associate, or GCP Professional Cloud Security Engineer are a plus.
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AWS Cloud Database technologies Redshift, Aurora PostgreSQL, AWS Transfer Family, DynamoDB, AWS Neptune and AWS Timestream. AWS Cloud Infrastructure technologies like VPC, Direct Connect, S3, EC2, IAM, Secrets Manager, KMS, Service Endpoints, API Gateways, etc.
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Bachelor's Degree in related field required, Master's Degree preferred Microsoft Azure and/or AWS Cloud Solutions Architect certification preferred 10-12 years of hands-on technical experience.
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Recent hands-on experience with AWS Cloud development, deployment, and monitoring necessary. Prior hands-on experience with data platforms and technologies such as Delta Lake, Spark, Kubernetes, Kafka, ClickHouse, and/or Presto/Trino.
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Hands-on experience with AWS services such as S3, Glue, Redshift, EMR, Athena, etc. The ideal candidate will have a robust background in big data analytics, data engineering, and cloud computing, with a particular focus on building and optimizing data lakes on AWS. This role is crucial for designing, implementing, and managing advanced data solutions using AWS and Data Lakehouse platforms.
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AWS Cloud Practitioner or Microsoft Azure equivalent. General cloud technologies, e.g., elasticity, scalability, IaC, IaaS/PaaS/SaaS, on-demand instantiation, containers, Kubernetes, serverless/Lambda.
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hands on aws cloud jobs Title: full engineer Company: Blackrock Services in Morgan-city, Louisiana
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