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Configuring and managing various enterprise storage vendor products including Dell EMC storage hardware, Dell EMC Power Max, VMAX3, VMAX, VNX, Clarion, Isilon, PURE Storage Arrays, IBM SVC, XIV, and EMC SAN management tools along with NetApp FAS Filers.
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4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake.
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Familiarity with other IaC tools such as Ansible or Cloud Deployment Manager. Google Cloud Professional Data Engineer certification. The ideal candidate will have extensive experience with Google Cloud Platform (GCP) services, particularly Dataflow, BigQuery, Pub/Sub, and related services.
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And technologies (Kafka, Solace, Change Data Capture, Node.js, Go, Containerization, PaaS) to build cloud-native solutions for the enterprise based on modern event driven architectures. Our enterprise projects often require us to bridge and / or transform legacy systems to cloud native modern to extend business functionality and unlock data, we use digital decoupling technique to slowly and methodically hollow out the existing core and reimagine functionality, capture and distribute data changes.
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As part of the Quality and Safety division, Data and Analytics (DnA) empowers NYC Health + Hospitals and its partners with data, digital tools, AI capabilities, and insights to drive quality and performance improvements, support enterprise operations, and enhance patient outcomes.
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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.
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Knowledge of Networking and Security - DNS, Active Directory, Entra ID (Azure AD) including conditional access policies, certificates, firewalls, proxies, cloud access security brokers (CASB), single sign on (SSO), multi-factor authentication (MFA), data loss prevention (DLP) and identity and access management (IAM.
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Proven experience as an AWS Cloud Engineer or similar role. Experience with Infrastructure as Code (IaC) tools such as AWS CloudFormation and Terraform. Design, deploy, and manage scalable and secure AWS cloud infrastructure using services such as EC2, RDS, VPC, ELB, ALB, Lambda, S3, Elastic Beanstalk, and more.
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As a member of the Data Capture team you will establish the foundational set of core platform frameworks and pipelines which are a vital key to success – enabling dozens of engineering and analytical teams to unlock the power of data to drive key business decisions and provide engineering, analytics, and operational teams the critical information necessary to scale the largest streaming service.
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Knowledge of Azure's GCC-High environment and M365 IT operations, including, identity, endpoint management, security, business continuity, disaster recovery, data platforms, cloud-based networking, virtualization, and governance.
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Experience in developing Data Warehouse/Data Marts using, as examples, OBIEE, OBI APPS, Cognos, Business Objects, SPSS, SSIS, SSRS, Informatica Power Center, OWB and ODI. · Experience on design and development of Data Warehouse Architecture for Enterprise Data Warehouse (EDW), Operational data Store (ODS), Operational Data Marts and Data Marts.
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Industry knowledge and experience in areas of Cloud Data processing and migration, advanced analytics Redshift, Glue, Azure EMR, Azure Kinesis, Step functions. Experience in DevOps tools Jenkins, Sonar, Maven, Jira, Docker and Azure.
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Expertise in designing and implementing scalable data pipelines using tools such as Apache Spark, Databricks, Kafka, and others. Relevant certifications in data engineering or cloud technologies (e.g., Azure Data Engineer, AWS Certified Data Analytics.
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Participate in defining technical requirements that outline data integration solutions within an AWS cloud environment. Participate in research and perform POCs (proofs of concept) with emerging technologies and adopt industry best practices in the data space for advancing the cloud data platform.
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SCOPE OF WORK: The Data Entry Intern will be responsible for adding the Adult Education Department's clients into IRC's cloud-based case management platform Efforts to Outcomes or ETO, record attendance, and add case notes as needed.
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