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Advanced knowledge and prior experience in Python, SQL, distributed computing tools such as Databricks, AWS or other Cloud platforms. You'll code with machine learning languages like DataBricks and Python Libraries to synthesize millions of data sets into patterns that answer ad hoc requests and then use Tableau for data visualization.
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Experience with cloud-based data platforms and services (e.g., AWS, Azure, Google Cloud) including familiarity with relevant tools and technologies (e.g., S3, Redshift, BigQuery, etc.
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Utilize programming languages like Java, Python, SQL, Ruby and Go, Container Orchestration services including Docker and Kubernetes, CM tools including Ansible and Terraform, and a variety of AWS tools and services.
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Senior level experience with Java, Spring Boot, AWS, RDBMS, event-based architecture, design patterns, agile frameworks, and cloud environments. Senior level experience with Java, Spring Boot, AWS, RDBMS, event-based architecture, design patterns, agile frameworks, and cloud environmentsBuilding software solutions, collaborating with teams on projects, interacting with clients Apply Back End Engineer (Java, Spring Boot, AWS.
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Certification(s) in cloud technologies (e.g., Microsoft Certified: Azure Administrator Associate, AWS Certified Solutions Architect). While specific Azure expertise is preferred, candidates with experience in other cloud platforms (e.g., AWS, Google Cloud) are encouraged to apply.
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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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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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5+ years experience with AWS hosting technologies: Virtual Private Cloud (VPC), Elastic Cloud Compute (EC2), Elastic Load Balancing (ELB), Relational Database Service (RDS), Lambda, Simple Email Service (SES), Simple Notification Service (SNS), Containers, Application Programming Interface (API) Gateway, etc.
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Understanding and experience with modern cloud data warehouse and engineering for one or more of the following cloud providers Azure (Synapse, Dynamo, Cosmos, Azure ML, Power BI), AWS (Redshift, Sagemaker), GCP (BigQuery, Vertex, Cognitive Services), Snowflake, Tableau.
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You must be passionate about data management with a solid background in AWS, Databricks, Python, Trino/Starburst, Databases and SQL.Design, develop, monitor, and maintain data pipelines in an AWS Gov Cloud ecosystem with AWS, Databricks, Delta Lake and Trino as the underlying platforms.
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Develop and leverage AWS tools and services to manage and automate key operations capabilities including AWS Systems Manager, Patch Manager, Cloud Formation, and custom scripting to extend the AWS services.
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Two years of experience utilizing in Cloud computing: GCP (Google Cloud Platform), AWS (Amazon Web Services) or Azure. Two years of experience in: Python programming, using Tensorflow or Pytorch; and working with Linux, Docker, git and MongoDB.
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Work regularly with: Amazon Web Services (AWS), Linux/Unix Administration, Maven, Jenkins, GoCD, Docker, Kubernetes, and cloud-based monitoring tools; Prometheus, Grafana, OpenSearch, NewRelic, Java EE (Web applications); Vue. JS, Node.js, (HA) services and infrastructure (load balancers, database clusters, replication, and application server pools), PSQL and MySQL and scripting languages – shell, python.
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Providing oversight and guidance by utilizing your extensive experience with the implementation of Data Integration tools, such as SnapLogic, Mulesoft, Databricks, AWS Kinesis & Glue, Azure Data Factory, Informatica Cloud, SQL, Python/PySpark, Jupyter Notebooks and similar technologies.
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Intimate knowledge of public cloud infrastructures (GCP - Preferred, AWS, Azure). Expert level in Current technology Stack Helm, K8S, Istio, GCP, AWS, GKE, EKS, Terraform, SRE/DevOps practices or equivalent.
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aws cloud python jobs in Rutherford, NJ
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