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Specialist Data Engineer Data & Analytics Job (Bangalore, India)

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Job Number: 2645537
Business: GE Digital
Business Segment: Digital IT & Digital Thread
About Us: GE is the world's€™s Digital Industrial Company, transforming industry with software-defined machines and solutions that are connected, responsive and predictive. Through our people, leadership development, services, technology and scale, GE delivers better outcomes for global customers by speaking the language of industry.
Posted Position Title: Specialist Data Engineer Data & Analytics
Career Level: Experienced
Function: Information Technology
Function Segment: Data & Analytics
Location: India
U.S. State, China or Canada Provinces:
City: Bangalore
Postal Code: 560066
Relocation Assistance: Yes
Role Summary/Purpose: The New College Graduate Program is designed to transform passionate & ambitious graduates into technological experts. Leverage the unique opportunity to collaborate with like-minded analytics enthusiasts while learning cutting edge analytical tools.
Essential Responsibilities: Apply your expertise in quantitative business analysis, data mining, and the presentation of data to see beyond the numbers and drive enterprise level outcomes
· Develop high performance, distributed computing algorithms using Big Data technologies such as Hadoop, text mining, and other distributed environment technologies
· Execute and evaluate appropriate analyses (cluster analysis, logistic/linear regression, collaborative filtering, etc.) given an array of tactical and strategic objectives· Write, review, and critique Use Cases and detailed specification of key business rules
· Opportunity to work on business intelligence platforms (i.e. OBIEE, Tableau, Spotfire, Qlikview), data integration and ingestion tools (i.e. Informatica, Talend, HVR) and other middleware technologies, with strong emphasis on near-real time data exchange
· Opportunity to work on machine learning including Bayesian methods, Reinforcement learning, Neural networks, Support vector machines, Hidden Markov Models, Relevance vector machines, Probabilistic/ Evidential Reasoning, large data sets and distributed computing (Hive/Hadoop)
Qualifications/Requirements: Potential candidates should have strong academics with a minimum of 65% or an equivalent CGPA in B.E/B.Tech or M.E/M.Tech/M.S in disciplines such as Computer Science, Information Technology, Information Science, Software Engineering and related branches from IITs, NITs and Premier Institutes
Additional Eligibility Qualifications:
Desired Characteristics:

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