Business Model StrategyOperating Model StrategyCorporate Growth and DevelopmentInternational DevelopmentManufacturing StrategyEnterprise TransformationMergers and AcquisitionsBig Data AnalyticsApplication ManagementApplication Modernization & OptimizationsBusiness Communication ServicesBusiness ContinuityBusiness Information Management (BIM)Business Process Management (BPM)Business AnalyticsBusiness StrategySecurity ServicesTechnical Support ServicesWorkplace ServicesBusiness Continuity and ResiliencyIntegrated CommunicationsSecuritySoftwareStrategy and DesignBusiness Process OutsourcingInfrastructure Outsourcing Application OutsourcingIT Infrastructure ServicesIT OutsourcingIT Services SourcingIT StrategyGlobal Process Services OfferingsCertificationConferences & EventsMarketingProcurementSupply ChainTalent and HRAccelerated R&D Health AdministrationHealth ManagementInsuranceNetworkUtilities| Job ID: | J317166 |
| Job Title: | Hadoop Data Integration Developer |
| Client: | To Be Discussed Later |
| Location: | SAN FRANCISCO, California |
| Contract Duration: | 7 Months |
| Hourly Rate: | $42/hr Corp-to-Corp Contract |
| Experience Level: | 7+ Years |
| Interview Type: | Phone + Skype |
| Domain Exposure: | IT/Software |
| Work Authorization: | US Citizen, Green Card, H-1B, GC-EAD, H4-EAD, OPT-EAD, L2-EAD, TN Visa, E-3 Visa, CPT |
| Preferred Employment: | Corp-To-Corp Contract, 1099/ Contract |
| Current Status: | Open |
Local Candidates Preferred. Non-local candidates must be willing to pay for your own interview travel expenses and relocation costsRole: Hadoop Data Integration Developer
No of Positions – 5
Duration: 7 months
Rate: $42/hr on C2C (MAX)
Location: SAN FRANCISCO, CA
Job Description:
Hadoop Data integration Developer / Engineer.
Experience with big-data technologies such as Hadoop/Hive, MongoDb, or other NoSQL-based data stores. - Strong experience with traditional RDBMS systems like Oracle & Teradata. - 3+ Years of JAVA ETL / Data Integration Experience. - 2+ Years of experience working with Hadoop ecosystem - Cloudera, Hortonworks or Mapr (preferred). - Comfortable working in Linux environment. - Experience with scripting - shell scripting, python etc. - Profile and analyze large amounts of source system data, including structured and semi-structured data. - Work with data originators to analyze the gaps in the data collected. - Expert-level SQL coding/querying skills is a must. - Conduct ETL performance tuning, troubleshooting & support. - Must be comfortable working in a fast-paced, flexible environment, and take the initiative to learn new tools quickly. - Strong understanding of Unix operating systems and Unix security paradigms - Excellent communication skills and experience with first-level support
