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United States

Company Profile

Senior Big Data Engineer


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Hyderabad, IN-TS, India 


Analytics, Big Data Analytics, 691, Big Data Architect, Hadoop ADMIN, Java Developer, Machine Learning, MATLAB, MongoDB

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Job Description:

Enable machine learning environment for advanced analytics Ensure that proposed solutions are aligned and conformed to the big data architecture guidelines and roadmap. Responsibility: Evaluate and renew implemented big data architecture solutions to ensure their relevance and effectiveness in supporting business needs and growth. Design, develop and maintain data pipelines, with a focus on writing scalable, clean, and fault-tolerant code to handle disparate data sources, process large volume of structured / unstructured data from various sources. Understand business requirements and solution designs to develop and implement solutions that adhere to big data architectural guidelines and address business requirements

Job Requirements:

 Degree qualified in Business management, IT, Computer Systems, software or computer engineering fields or equivalent. Minimum 6 years of experience in data warehousing / big data environments. Experience in relational & dimensional data modelling and performance tuning of enterprise warehouses / big data environments. Experience with big data processing (Spark experience preferred) Experience in designing and developing data models, integrating data from multiple sources, building ETL pipelines, and other data wrangling tools in big data environments Understanding of structured and unstructured data design/modeling Experience using software engineering best practices in programming, testing, version control, agile development, etc. Technical competency: Hadoop / Big Data knowledge and experience Design & Development based on Hadoop platform and it’s components 

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