For the given job description <<Publicis Sapient  Public Sector is looking for a Senior Associate, Data Engineer to be part of our team of top-notch technologists. You will lead and deliver technical solutions for large-scale digital transformation projects. Working with the latest data technologies in the industry, you will be instrumental in helping our clients evolve for a more digital future.Great Place to Work Certified in the US: https:www.greatplacetowork.comcertified-company1000228
Primary Skill: Data Warehouse and ETL
Qualifications:Must-Haves:***Application open to ONLY U.S. Citizens and Permanent Residents******Must be eligible to obtain U.S. Government Clearance (Public Trust)***6+yrs of demonstrable exp in data platforms involving the implementation of end-to-end data pipelinesHands-on exp with at least one of the leading public cloud data platforms (Amazon Web Services, Azure, or Google Cloud)Exp in implementing data pipelines for both streaming and batch integrations using tools; Google Cloud Dataflow, Azure Data Factory, ksqlDBExp working with code repositories and continuous integrationExp in data modeling, warehouse design, and factdimension implementationsStrong SQL knowledge to develop efficient and complex queriesExp working with Microsoft SQL ServerExp in data processing, transformation, and manipulation using Python (1+ yr exp)Exp developing, maintaining, and troubleshooting complex ETL processes using Microsoft SSISData ingest, validation, and enrichment pipeline design and implementationBachelor's degree in Computer Science, Engineering, or a related field
Nice to have:Exp in SnowflakesExp in Tableau Power BI, familiarity with ArcGIS would be an assetCertifications for any of the cloud services like AWS, Google Cloud, AzureLogical programming in Spark PySpark  Scala
Benefits of Working Here:Flexible vacation policyUnlimited PTO's15 company paid holidays annuallyWork Your World programGenerous parental leave and new parent transition programTuition reimbursementCorporate gift matching program>> 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, No Fit

Fit assessment: No Fit