Hadoop Architect

Job Description (Please provide summary of the position)

We are looking for self-motivated Hadoop (MAPR) architect to drive innovations on technology interoperable platforms with MAPR for enterprise customers in diverse industry verticals. Key focus areas would be 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: (Please list all required qualifications)

Technical

Must have

• Design and implementation of MAPR based Big Data solutions, including leadership role in design to develop shared/reusable components.
• Experience for managing the full life-cycle of a Bigdata solution. This includes creating the requirements analysis, the platform selection, design of the technical architecture, design of the application design and development, testing, and deployment of the proposed solution.
• 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 a 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 in handling the Structured and Unstructured data using Big Data (Any tools, best practice & Industry trends).

Hands on technical competences

• Java/J2EE, Linux, Apache, PHP, PEARL, Python, C, C++
• MAPR, Hadoop, Hive, HBase, Pig, MapReduce and other Hadoop eco-system components
• NoSQL databases – Cassandra, MongoDB, MariaDB
• Data warehouse, BI and ETL tool
• 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 plus.
• Ability to work independently and as a team member.

All your information will be kept confidential according to EEO guidelines.