For the given job description <<Title: Azure Data Engineer Location  Seattle, WA - In-Office Days: Monday, Tuesday, and ThursdayDuration  12 months Job Description:Independently design and develop programs and tools to support data pipelines including ingestion, curation, and provisioning of data for analytics, reporting and data science. Deliver key, complex business capabilities and platform features. Deliver high quality software using AgileScrum development methodologies. Identify and drive operational improvements for the team's data platform services.
ResponsibilitiesShould have experience with Azure Databricks, Spark, and Azure Data Factory Should have experience operationalizing production pipelines4 years of software development experience using Python  PySpark4 years of experience using software engineering fundamentals, including algorithm theory and data structures. 2 years of experience using CICD tools to build and deploy software systems.2 years of experience using relational and non-relational, NoSQL databases. 1 years of experience using Hadoop or Spark. 1 years of experience using data hygiene routines and models.Collaborate with development team, other Information Technology (IT) teams developer leads.Initiate process improvements for new and existing systems. Design, develop, implement, document, and test changes to an application subsystem.Code, test, debugs, documents, and implement complex software applications.Create more complex prototypes and ensure deliverables are high quality and meet user expectations.Support system and integration testing activities.Perform root cause analysis to identify permanent resolutions to software or business process issuesInitiate design reviews for new applications and adhere to software development standards. Coach, and mentor other team members.Perform cross-training and facilitate information sharing among team members.
>> the resume: <<Professional ProfileHighly efficientPersonnel Data Coordinatorwell established in administrative environments that are fast-paced and challenging. Strong organizational, technical, and analytical skills.
SkillsOrder processingTime managementSpreadsheet managementMicrosoft Office proficiencyExcellent communication skillsMicrosoft Excel certifiedResourcefulAdvanced clerical knowledgeInvoice processingInsurance processingAdvanced clerical knowledgeMulti-line phone proficiencyCustomer service-oriented
Professional ExperiencePersonel Data Coordinator,06/2012to07/2017The Learning Tree–City,STATE,Maintained the front desk and reception area in a neat and organizedDrafted meeting agendas, supplied advance materials and executed follow-up for meetings and team conferences.Provided the planning process for the development of the individualized service
          plan.Managed the receptionist area, including greeting visitors and responding to telephone and in-person requests for information.Completed and submitted clinical documentation in accordance with
          agency guidelines.Designed electronic file systems and maintained electronic and paper files.Assisted customer service with inbound and outbound calls regarding all HR inquiries.Partnered with the IT department to create a streamlined on boardingprocess for new hires.Selected and interviewed candidates for all available positions.Worked closely with HR business partners to facilitate year-end talent reviews and articulate team strengths.Audited job postings for old, pending, on-hold and draft positions.Assessed employee performance and issued disciplinary notices.Tracked, verified, and updated reports on monthly/weekly/quarterly basis.​​​
Education and TrainingHigh School Diploma:,Expected in2005toMurphy High School-,ALGPA:
QualificationsAbility to scan large volumes of data in a short time frame.Excellet analytical thinking and troubleshooting skills.Excellent in verbal and written communication skillsPrepare and submit data required for auditsPerform collection, interpertation and recording of data in accordance with company's guidelines and standards.Analyze data for quality improvement purposes​​​>>. The result is, Potential Fit

Fit assessment: Potential Fit