For the given job description <<Title: Sr. Data EngineerLocation: Austin, TxDuration: 6 MonthsPay Rate: $65HR - $70HR on W2
Requirements:Bachelors degree in Computer Science or related field plus 4+ years of relevant work experience or a Master's degree plus 2+ years of relevant work experience or a PhD plus 0-1 years of relevant experienceIn lieu of a degree, qualified candidates would require 8+ years of relevant professional experienceExcellent with SQLExcellent programming skills in Python and ideally demonstrating an aptitude via experience with multiple languagesExcellent understanding of patterns for data ingest into data warehouse, ingest, cleansing, standardizing, etc., in addition to different data structures like normalized, denormalized, starExcellent experience supporting Snowflake Data Warehouse, including Snowpipe (including streams), tasks, transformations, views, dynamic tables. This should include advanced skills in ensuring efficient utilization of Snowflake compute and the ability to optimize workloads and warehouseBroad experience with Cloud PaaS capabilities, ideally AWS CloudWatch, Lambda, Step Functions, SNSSQS, DynamoDB, etc.Experience utilizing reporting and data insights toolsExperience in supporting analytics teams data needs, in addition to customer and business reporting.
What you'll be doing:Provides Data Engineering support for areas such as Finance, Sales, Business Intelligence, Product Development andor other business usersWorks with data consumers and Project Managers to determine logical and physical database designs for analytics modelsCreates and maintains optimal data pipeline architecturesEnsures architectures are aligned with and support business requirements;Ensures that required data is available, can be trusted and is readily accessible by those who need itInfluences the data infrastructure roadmapIdentifies, designs and implements internal data management process improvementsPlays a key role in application development projects to evolve the companys database architecture and designWorks with internal and external data providers on data validation, providing feedback and making customized changes to data feeds and data mappings for analytical and operational useAutomates manual processes, transforming them into repeatable capabilitiesWorks with fellow team members to ensure design, development and execution align with and support adjacencies and adhere to established architectural standards.
Top 5 Must Haves:Excellent with SQLExcellent programming skills in Python and ideally demonstrating an aptitude via experience with multiple languagesExcellent understanding of patterns for data ingest into data warehouse, ingest, cleansing, standardizing, etc., in addition to different data structures like normalized, denormalized, star;Excellent experience supporting Snowflake Data Warehouse, including Snowpipe (including streams), tasks, transformations, views, dynamic tables. This should include advanced skills in ensuring efficient utilization of Snowflake compute and the ability to optimize workloads and warehouseBroad experience with Cloud PaaS capabilities, ideally AWS CloudWatch, Lambda, Step Functions, SNSSQS, DynamoDB, etc.
Thank you!>> 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, 

Fit assessment: Good Fit