Pro Consulting offers contingent Staff Augmentation of IT professionals, Permanent Recruiting, and Temp-to-Hire services, with expertise in various industries.Job Description
We are seeking a self-motivated Hadoop (MAPR) architect to drive innovations on technology interoperable platforms with MAPR for enterprise customers in diverse industry verticals, focusing on MAPR with real-time analytics, Next Best Action, and Internet of Everything.
Responsibilities :
- Design and implement solutions to address business problems in various industry verticals.
- Drive Proof of Concept (POC) and Proof of Technology (POT) evaluation on interoperable technology platforms.
- Train and mentor developers towards solution development and POC / POT execution.
- Support presales engineering activities for MAPR Hadoop Big Data based RFPs.
Qualifications : Technical :
- Design and implementation of MAPR-based Big Data solutions, including leadership role in design to develop shared / reusable components.
- Experience managing the full life-cycle of a Big Data solution, including requirements analysis, platform selection, technical architecture design, application design, development, testing, and deployment.
- MAPR Certified is preferred.
- Minimum 10 years of solid IT consulting experience in data warehousing, operational data stores, and large-scale implementations.
- Using Big Data technology and customer's business requirements, design and document a comprehensive technical architecture.
- Analysis and documentation of source system data sources from traditional (RDBMS) and new data sources (web, machine-to-machine, geospatial, etc.).
- Using business SLAs and technical architecture, calculate performance and volumetric requirements for infrastructure components.
- Design an architecture using cloud and / or virtualization technology.
- Plan and execute a technology proof-of-concept (POC) using Big Data technology.
- Experience handling Structured and Unstructured data using Big Data (tools, best practices, and industry trends).
Hands-on technical competences :
- MAPR, Hadoop, Hive, HBase, Pig, MapReduce, and other Hadoop eco-system components.
- Data warehouse, BI, and ETL tools.
- Detailed knowledge of RDBMS data modeling and SQL.
Non-Technical :
- Strong analytical and problem-solving skills.
- Strong written and verbal communication skills.
- Ability to work effectively under pressure with constantly changing priorities and deadlines.
- Familiarity with project management and systems development life cycle processes, tools, concepts, and methodologies is a plus.
- Ability to work independently and as a team member.
Additional Information
All your information will be kept confidential according to EEO guidelines.
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