Associate Business Consultant

Keylent

Irvine, CA

JOB DETAILS
SKILLS
Agile Programming Methodologies, Analysis Skills, Apache Hadoop, Application Programming Interface (API), Architectural Analysis, Architectural Services, Best Practices, Big Data, Business Architecture, Cloud Computing, Computer Science, Computer Security, Consulting, Cryptography, Data Analysis, Data Management, Data Modeling, Data Processing, Data Warehousing, Database Architecture, Database Design, Database Extract Transform and Load (ETL), Database Technology, Ecosystems, High Availability, Linux Administration, Mathematics, Microsoft Transact-SQL (T-SQL), NoSQL, Predictive Modeling, Process Improvement, REST (Representational State Transfer), Relational Databases (RDBMS), Requirements Management, SOAP (Simple Object Access Protocol), SQL (Structured Query Language), Service Delivery, Snowflake Schema, Software Development Lifecycle (SDLC), Star Schema, Technical Writing, Technical/Engineering Design, Test Data, Virtualization, Web Hosting, XML (EXtensible Markup Language)
LOCATION
Irvine, CA
POSTED
4 days ago
Data Architect

This person must have the ability to understand complex data relations, business requirements, formulate efficient and reliable solutions to difficult problems. The candidate should have in-depth knowledge and understanding of RDBMS concepts and experienced in writing complex queries and data integration processes in SQL/TSQL and NoSQL. This individual will be responsible for creating the design, development and implementation of new and existing applications.

  • Work Collaboratively with all levels of business stakeholders to architect, implement and test Big Data based analytical solution from disparate sources
  • Responsible for providing subject matter expertise in design of database schemes and performing data modeling (logical and physical models), for product feature enhancements as well as extending analytical capabilities.
  • Reviews the existing database design and data management procedures and provides recommendations for improvement.
  • Demonstrate and understanding of concepts, best practices and functions to implement a Big Data solution in a corporate environment.
  • Design of scalable Big Data Architectures and solutions
  • Translate business requirements into technical designs
  • Implementation of some or all of the big data systems in distributed cloud environments
  • Database, storage, and other back-end services in fully virtualized environments
  • Scalability and high availability, fault tolerance, and elasticity
  • Security, encryption for Big Data environments
  • Develop technical documentation as needed.
  • Architect, Design and maintain high performing ELT/ETL and SQL Processes.
  • Big Data platform design i.e. tool selection, data integration, and data preparation for predictive modeling.
  • Monitoring, alerts, and automated recovery
  • Participate in an Agile SDLC to deliver new cloud platform services and components
  • Champion best practices for Linux administration and Security for delivery of cloud services
  • Set architectural vision and direction across a matrix of teams
  • Proven industry leader in Big data architecture and operations
  • Strong experience with one or more ETL/ELT tools.
  • Analyze, architect, develop, validate and support integrating data into the SEW platform from external data source; Files (XML, CSV, XLS, etc.), APIs (REST, SOAP), RDBMS.
  • Deep expertise in Hadoop ecosystem and NoSQL database technologies.
  • Comprehensive knowledge and experience in process improvement, normalization/de-normalization, data extraction, data cleansing and data manipulation.
  • Practical experience with the data modeling (dimensional, relational, star schemas, snowflake schema modeling with facts and dimensions).
  • Demonstrated thought leadership and interpersonal skills
  • Established experience with automated, elastic scaling of cloud services, automated deployment and remediation
  • Experience with implementation of Cloud application fabric technologies such as Cloud Foundry
  • High level of ownership and accountability
  • Bachelor's degree in Computer Science, Information Technology, Information Security, Mathematics, Analytical modeling or closely related discipline.
  • Professional experience in DataBase Technology, Architecture, Hosting Technologies (5-8 years) & Data Warehouse Tools
  • Minimum of 4-6 years of experience in data modeling (including conceptual, logical and physical data models.
  • Experience in processing large data volumes ind

About the Company

K

Keylent