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: <<QUALIFICATIONS•   Over two years' experience of data analysis
at Loyola Chicago University; providing statistical analysis plan and
generating report, tables, graphs;
proficient in R and SAS.•   Proficient in Microsoft Office, Word, Excel
and Power Point.•   Ability to effectively organize and manage
multiple assignments with hard deadlines.•   Great team player and extensive experience
and skills in collaboration and communication.
PROFESSIONAL EXPERIENCE09/2016toCurrentData Analyst InternEnvestnet|Secaucus,NJ,•    Merge spreadsheets from different sources to create a more compact and centralized data platform for easy updating and data analysis using MS Excel advanced functions and formulas.•    Data cleaning and data validation of existing spreadsheets to promote a robust data management platform for accurate data entry and data analysis.•    Train employees on the use of pivot tables and tips and tricks in MS Excel for efficient data entry and analysis.07/2013to04/2014Research AssistantSuny Upstate Medical University|Syracuse,NY,Supervisor: Drs. Michael Crum and David Rayome

Paper: Self-employment and subjective well-being: A multi-country
analysis using the world values survey.
International Journal of Entrepreneurship (Published in 2014)•    Statistical analysis of
elements influencing self-employment and life happiness using R studio•    Literature research on topics of
self-employment and satisfaction04/2012to07/2012Accounting InternshipAmica Mutual Insurance|Park Ridge,,•    Provide data management for
Accounting Journals using government-secured software•    Prepare written report of Asset inspection
and sorted the documents04/2011to07/2011Finance InternshipSiemens Corporation|Wichita,,•    Sales consultant for financial products and
services
EDUCATIONExpected in2016totoMaster of Science|Applied StatisticsLoyola Chicago University,Chicago,ILGPA:Expected in2013totoBachelor of Science|Finance and risk managementNorthern Michigan University,Marquette,MIGPA:
SKILLSComputer Software: MS Word,
PowerPoint, Excel, Access
StatisticalSoftware: R Studio, SAS, Minitab,
SQLLanguage: Mandarin and
English>>. The result is, 

Fit assessment: Good Fit