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[1] -------------------------------------------
Position: Principal Sales Consultant
Line of Business: iTech
Position Summary:
Oracle iTech is looking for data scientistsfor designing solutions requiring Big Data analytics. With the increase of datain the enterprise, Oracle is offering customers with an end-to-end solution toacquire, organize, analyze, and maximize the value from unstructured data throughthe Big Data Appliance. You will be creating insights from different types ofdata that are not readily accessible in data warehouses and business intelligenceapplications today.
You will function as Solution Architect forcreating Big Data proofs-of-concept, use-case demos and customer engagements.As SAs, you will also function as Big Data team leads for end-to-end enterprisebig data requirements.
Qualifications:
At least 5 yrs hands on experience in SAS, R language, Stata, SAS, SPSS or Matlab
Hands on experience on Hadoop / MapReduce programming
Degree in Mathematics, Applied Mathematics, Computer Science, Statistics or related discipline
Experience in Actuarial Science, Numerical Analysis, Linear Programming, Nonlinear Programming, Mathematical Modelling, Probability Theory, Differential Equations, Optimization, Computational Statistics
Knowledge of RDBMS and SQL
Knowledge of data warehousing concepts
Knowledge of Extract, Transform, Load process
Knowledge of Business Intelligence applications
Understanding of Grid Computing, Cloud Computing, Map-Reduce, clustering and distributed programming
good presentation skills
10 years of experience in all at least
Pluses:
Consulting background and/or comfort in working with customers
Implementation experience in top telcos / retail / public safety / banks
Experience in gathering and understanding customer business requirements
Design of Extract-Transform-Load packages
Working knowledge of distributed systems
Working knowledge of Hadoop
Experience with concurrency and synchronization
Experience with queuing patterns and pipeline design
Experience with optimization and troubleshooting
[2] -------------------------------------------
Position: Staff Sales/Sales Consultant
Line of Business: iTech
Position Summary:
Oracle iTech is looking for JavaProgrammers for distributed computing. With the increase of data in theenterprise, Oracle is offering customers with an end-to-end solution toacquire, organize, analyze, and maximize the value of data collected fromdifferent sources through the Big Data Appliance. You will be creating Map-Reduceprograms to stage data for further analysis through data warehousing andbusiness intelligence.
Qualifications:
At least 2 yrs background in Java Programming
Degree in Computer Science, Computer Engineering, Applied Mathematics, or related discipline
Knowledge of data processing algorithms and data structures
Experience with asynchronous programming with threads
Experience with data-intensive applications
Experience with client-server applications
Experience with developing Java Spring applications
Excellent communication skills including the ability to handle stress and multi-tasking
Pluses:
Knowledge of RDBMS and SQL
Knowledge of Hibernate or similar ORM technologies
Knowledge of data warehousing concepts
Knowledge of Extract, Transform, Load process
Knowledge of Linux and solid OS and networking fundamentals
Deep conceptual understanding of scalability, performance, queuing, availability, coherence, caching, and synchronization techniques
Knowledge of Grid computing, Cloud Computing, Hadoop, advanced server clustering and distributed programming
Knowledge of file system and database kernel internals – latency, throughput, reliability, availability
[3] -------------------------------------------
Position: Sales/Senior Sales Consultant
Line of Business: iTech
Position Summary:
Oracle iTech is looking for analysts for designingreports from structured and unstructured data. With the increase of data in theenterprise, Oracle is offering customers with an end-to-end solution toacquire, organize, analyze, and maximize the value of data collected fromdifferent sources through the Big Data Appliance. You will be creating insightsfrom different types of data that are not readily accessible in data warehousesand business intelligence applications today.
Qualifications:
At least 2 yrs background in R language, Stata, SAS, SPSS, Matlab, or complex Excel macros
Degree in Mathematics, Applied Mathematics, Computer Science, Statistics or related discipline
Experience in Actuarial Science, Numerical Analysis, Linear Programming, Nonlinear Programming, Mathematical Modelling, Probability Theory, Differential Equations, Optimization, Computational Statistics
Working industry knowledge (Finance, Telco, Public Sector, Retail, Manufacturing)
Knowledge of data processing algorithms and data structures
Knowledge of distributed systems
Excellent communication skills including the ability to handle stress and multi-tasking
5-10 years experience in all
Pluses:
Knowledge of RDBMS and SQL
Knowledge of data warehousing concepts
Knowledge of Extract, Transform, Load process
Knowledge of Business Intelligence applications
Solid OS and networking fundamentals