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This position will integrate with AFLCMC/HBAW and provide technical expertise as input to a government led team of contractors and government personnel planning for migration of weather and environmental data storage and application functionality into the AFW VPC and Agile DevSecOps environment.
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As such, it requires someone who can bring the experience of leading a major enterprise successfully through such digital transformations as migration to cloud infrastructures, enabling and transitioning to microservices, efficiency and scale through automation and SRE practices, and setting the strategy and vision for modern data management and analytics.
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The successful candidate will have extensive (typically 10 years) of technical experience, along with a record of success in leading and facilitating technology transformations to cloud services such as Azure, AWS, and GCP. This person should also have proven experience working in an Agile Scrum environment with data engineering solutions like Snowflake, Databricks, and modern database solutions for cloud environments.
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Collaborate with IT stakeholders to develop, communicate and execute a multi-year cloud and data strategy to simplify delivery model, reduce hand-offs and drive transformational change. Integrate and automate deployment and provisioning of highly available infrastructure across data centers and hybrid cloud platforms to reduce overall delivery times.
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As part of this task order, Leidos will manage the commercial cloud migration and disestablishment of legacy systems, fully automate the continuous development & continuous integration environment, fourth estate consolidation, professionalize services - ITIL/DevSecOps based processes, improve the customer experience 1st call resolution, and achieve development of a service catalog for Defense Working Capital Fund (DWCF) Model.
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Solid knowledge of Oracle 19c and technical database concepts, including logical relational data modeling, physical data modeling, tuning large instances, resource management, data replication and backup/recovery techniquesAutomation skills, such as Ansible, Python, terraform for IAC.Knowledge and experience of AWS or Oracle Cloud Infrastructure and Cloud ServiceHands-on cloud migration experience is preferred.
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Experience in Data Migration to Snowflake cloud data warehouse Experience in developing DBT models to transform data into useful, actionable information Expertise in designing ETL frameworks with several years of hands on experience in implementing several aspects of data pipelines including ingestion, transformation, data quality checks, monitoring, alerts, notifications etc.
$110,000 - $160,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Architect the on-premises data migration to Azure and AWS.-Work with JIRA, ServiceNow, SharePoint. Design Data Lake and load the data to Data Lake using ETL and PYSPARK-Work with AWS- EC2, VPC, EBS, Athena, Aurora, RDS, DMS, EMR, S3, Redshift.
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Utilize Cloud native ETL tools and methodologies to extract, transform, and load data, optimizing the migration process and minimizing downtime. The ideal candidate will possess extensive knowledge and hands-on experience in Terraform, Docker/Kubernetes, microservices architecture, and data migration, specifically from Oracle to PostgreSQL using ETL tools.
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In This Role, You Will:We are looking for a Data engineer with hands-on cloud data migration development experience. The impact you will have: End to end Cloud Data Lake design & development including data ingestion, data modeling and data distribution.
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Propose new database architecture and support data migration from an existing Legacy system to a new structureCreate source-to-target mapping documents to transform the source data into the target warehouse and test final transformations.
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Azure experience (not just a “cloud engineer” or just using services but more on data / migration side and creating pipelines etc.) Required: 5+ years of experience with the following: Experience delivering large scale analytics projects – leading requirements gathering, design and architecting complex solutions such as, cloud migration, integration of data from 6 or more various source systems involving data collection and storage systems (structured and unstructured data)Dimensional modeling (Kimball, etc.
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Strong knowledge of various database technologies (SQL, NoSQL), data integration (ETL/ELT) frameworks, data security (ZT, ACCM) and DoD cloud services (AWS, Azure, GCP) 8+ years of experience with performing CDO analysis, design, coding, testing, QA/QC, user training, customer support, enhancement, migration, and retirement phases.
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8-10 years of experience in architecting, developing, and deploying enterprise applications, very strong data management solution experience, certified solution architect in at least one public cloud, hands-on knowledge of designing and implementing data solutions and cloud environments and services, experience with hybrid-cloud and multi-cloud migration projects, experienced in Agile and Scaled Agile Delivery, hands-on Dev-Ops exposure, knowledge of emerging and trending digital technologies.
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Cloud technologies AWS, Email, and Server migration, VPN technologies, data migration, systems integration, VMware, Hyper V, etc. Net+ Certified, MCP, MCA, MCSE, Cloud, Firewall.
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