Required Skills

SQL RDBMS design (Oracle SQL Server Redshift AWS Cloudera SAP data services Tableau Power BI Data Engineering

Work Authorization

  • Us Citizen

  • Green Card

  • EAD (OPT/CPT/GC/H4)

  • H1B Work Permit

Preferred Employment

  • Corp-Corp

Employment Type

  • Consulting/Contract

education qualification

  • UG :- - Not Required

  • PG :- - Not Required

Other Information

  • No of position :- ( 1 )

  • Post :- 19th Nov 2020

JOB DETAIL

 

Lead conversations with business or functional teams to understand its processes/tools/data and define/develop appropriate data acquisition methodologies for analytics projects Work with and guide data engineers to acquire, cleanse, blend, and manage disparate datasets Be the key anchor for data extraction, preparation and hosting processes. Ensure adherence to data governance guidelines to ensure data quality and reliability Data expert for datasets used by data scientists or analytics projects, able to explain business terms/concepts to technical teams

 

Need to have sound knowledge of ETL practices (Coding experience with Talend or other ETL )

Within Financial DOMAIN , SUPPLY CHAIN knowledge is highly preferred , ( Finance , Pricing & Sales already has within her team ).

 

Education

B.S. in Computer Science or Computer Engineering.

MBA or minor in Business, Engineering, or Finance related discipline, or relevant experience in these areas.

Strong business knowledge in 1 or 2 domains: supply chain (preferred), pricing, sales & marketing, finance, product management Strong communicator, experience in working and driving discussions with

 

Advanced SQL RDBMS design and query building skills (Oracle, SQL Server, Redshift, etc.).Sound knowledge of ETL practices. Experience profiling, manipulating, and merging massive data set using Big Data technologies, preferably from AWS, Google, Microsoft, or Cloudera.
Exposure to SAP ERP system, Salesforce.com, etc.Visualization tool experience, especially with Tableau or Power BI.Attention to detail and logical based thinking in building, testing, and reviewing data pipelines containing multi-disciplinary information.
We Value Data Engineering & Cloud Certifications. Coding experience with Talend, SAP data services, or other ETL methods. Unix or other shell scripting, and exposure to job scheduling software such as Control-M. Experience in working with data scientists. Strong problem solver who can invent new techniques and approaches if necessary. Ability to work in a fast-paced environment

 

 

CLIENT SUBMISSION FORM 

  

Candidate’s Full Name  

  

Work Authorization with end date  

  

Candidate’s Phone Number  

  

SSN(Last 4 digi)  

  

Education (Degree with University and year of completion) Bachelors and masters  

  

DOB  

  

Total years of IT experience  

  

Passport number  

  

Current Location  

  

Open to relocate  

  

Have previously submitted your resume for any requirements with Persistent in before?  

  

Have you previously worked with Persistent  in before?  

  

Availability to Join the project/ notice  

  

Rate  

  

Do you have any offers in Hand?  

  

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2 Slots for Video interview  

  

Are you currently on project (If yes what is your end date)  

  

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Reference  

  

Reference  

Company Information