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Seattle / Global

Data Engineer-Seattle, WA

Job Description

Data EngineerLocation: Seattle, WAPosition Type: ContractRate: DOE $/hr. on w2 onlyNo Visa sponsorship available for this Job (US Citizen, Green Card,GC-EAD only)Job DescriptionLooking for strong hands on knowledge: 1. Spark in a Cloud environment, 2. Hands on data pipeline development 3. Distributed Analytical processing 4. The preferred environment is Azure. 5. A plus is Scala. The candidates must be able to talk on computer science aspects related to data, and have some clear insights related to the data topic. Candidates must have good communication skills and must understand the agile process.Summary of perfect candidate: Analytical, good communication, Spark, Scala, Azure, Data Pipelines [ELT and orchestration], Agile, distributed analytical environment, know fundamental data concepts.This position contributes to Organization's success by building enterprise data services for analytic solutions. This position is responsible for design, development, testing and support for data pipelines to enable continuous data processing for data exploration, data preparation and real-time business analytics.Responsibilities and essential job functions include but are not limited to the following:Demonstrate deep knowledge of data and the ability to lead others in the data engineering team to build and support non-interactive (batch, distributed) & real-time, highly available data, data pipeline and technology capabilities.Demonstrate focus in working towards defined business objectives and understanding the business value of work performedDemonstrate deep understanding of the ETL process (and variants there-of), including orchestration and development of data productsTranslate strategic requirements into business requirements to ensure solutions meet business needsWork with infrastructure provisioning & configuration tools to develop scripts to automate deployment of physical and virtual environments; to develop tools to monitor usage of virtual resources.Assist in the definition of architecture that ensure that solutions are built within a consistent framework.Lead resolution activities for complex data issuesDefine & implement data retention policies and proceduresDefine & implement data governance policies and proceduresIdentify improvements in team coding standards and help in implementation of the improvements.Leverage subject matter expertise to coordinate issue resolution efforts across peer support groups, technical support teams, and vendorsDevelop and maintain documentation relating to all assigned systems and projectsPerform systems and applications performance characterization and trade-off studies through analysis and simulationPerform root cause analysis to identify permanent resolutions to software or business process issuesThe candidate must have experience with processing and decrypting streaming data
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