Big Data Architect at Experis

Tampa, FL

About the Job

Experis is seeking a Big Data Architect, with experience in data Warehousing, data lake build, Hadoop/Hive/Spark/EMR learning in Tampa FL!
Responsibilities Include:
  • Design, implement and deliver complete analytic solutions for customers.
  • Own the data architecture and infrastructure.
  • Architect, build and maintain high performing ETL processes, including data quality and testing
  • Define and build technical/data architecture for data warehouse, data marts and big data solutions (including data and dimensional modeling)
  • Develop analytics with a mind toward accuracy, scalability and high performance
  • Provide technical guidance and thought leadership to other architects in the team.

Required experience:
  • Modern distributed architectures and compute / data analytics / storage technologies
  • Streaming capabilities to process real-time data for analytics and availability to consumers, using a standardized single-message format for transactions, or streams for devices and other time-series sources.
  • Federation that combines data from multiple controlling source systems, supporting pull-on-demand data operations against integrated, structured and virtual views.
  • Information integration and consolidation from related data sources that lead to the same business capability.
  • Integrating different structured data sources and transforming them into predefined formats via batch jobs to provide users with a unified view across business capabilities.
  • Self-service that allows business users to create their own repositories and data configurations as needed.
  • Storage of both structured and unstructured data that preserves data fidelity and transformation lineage. Allowing consumers on-demand access, with updates through batch processes instead of real-time
  • Data handling using OpenSource software. Cloud and Hybrid
  • Advanced knowledge of a programming language such as Java/Python/Scala
  • Large-scale distributed frameworks such as Hadoop / Spark
  • Deep knowledge of RDBMS (MySQL, PostgreSQL, SQL Server) and NoSQL databases such as HBase, Vertica, MongoDB, DynamoDB, Cassandra
  • Demonstrates broad knowledge of technical solutions, design patterns, and code for medium/complex applications deployed in Hadoop production.
  • Experience in architecting and building data warehouse systems and BI systems including ETL~ a hands-on Data Architect
  • Data visualization using tools like Tableau, Qlick, Spotfire, WolframAlpha

Experis is an Equal Opportunity Employer (EOE/AA)
Enter your email address and receive more jobs like this
Apply Continue to Apply By continuing you agree to Monster's Privacy Policy, Terms of Use and use of cookies.
Email this job
Email this job
Note: Email addresses will only be used for mail delivery of this job.