Hi Partners,
Please share profile at naseer.ahmad@nityo.com
Position: Data Warehousing and Business Intelligence
Location: Baltimore, MD
Contract-to-Hire folks only.
Job Description:
We are looking for a candidate working on Big Data Technologies, who has
- Extensive experience in Solution Architecture, Design and Development for one or more projects
- Should be well versed with Big Data Landscape, Data warehousing and Business Intelligence
- Should have hands-on experience in any of the big data technologies like Map reduce, Hadoop, Hive, Spark, Scala, Flume, Sqoop, Hbase etc. to complete POCs, review code and guide the team
- Should have had experience in playing the role of a lead architect for at least 2-3 Big Data implementations
- Should have in-depth experience in implementing Big data platforms on one of the leading distributions (Cloudera, Hortonworks or MapR)
- Candidate should also have good knowledge of Big Data architecture patterns, design patterns, estimation techniques, performance tuning and trouble shooting
Qualifications Basic
• Bachelor's degree or foreign equivalent required. Will also consider one year of relevant work experience in lieu of every year of education
• At least 6+ years of experience working in Big Data Technologies
• At least 12+ years of experience in Data warehousing
• At least 4+ years of experience in core Java and its ecosystem
• At least 3+ experience on Oracle big data stack (Cloudera, ODI, Fusion,etc)
Preferred
• At least 6+ years application Big Data project implementation experience including requirements gathering, architecture, functional and technical design
• At least 3 years of experience in leading technical teams and Client-facing Skills
• Experience in understanding new architectures and ability to drive an independent project from an architectural stand point
• Analytical and problem solving skills
• Ability to learn new technologies and business requirements
• Strong communication skills, both written and oral; Ability to build and deliver presentations to all levels of the business and effectively explain complex issues and concepts in simple, understandable language
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