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Senior Tech. Architect
Ref No.: 18-35241
Location: San Francisco, California
Start Date: 06/19/2018
Job title: Solution Technical Architect
Location: SFO CA
Duration Long term

  • Responsible for Solution architecture, design, develop and deploy data engineering solutions in Microsoft Azure and Hadoop ecosystem
  • Working with cross-functional teams including Product Owners, Solution Architects and Developers to implement BI projects.
  • Follow Gaptech coding standards and best practices
  • Collaborate with peers to find solutions to complex data integration challenges. Share knowledge with peers and junior engineers.
  • 7+ years of overall Software Development experience
  • Primary Skills should be SSAS, Power BI and Azure
  • Extensive experience in designing and building solutions using SSAS Cubes, SSIS
  • Extensive knowledge of relational and multi-dimensional data design and development techniques including star schema, snowflake schema, cube design, ETL and others.
  • Expertise in writing complex SQL and MDX queries, creating Stored Pro
  • Must have knowledge about ASE, App Insights, Hands-on experience with Azure Service Bus
  • Strong in Microsoft WebAPI concepts, SQL Server and design patterns and N-tier architecture concepts
  • 1+ years of experience in Hadoop technology stack - Map Reduce concepts, Distributed computing concepts, HDFS, Hive, Pig and Spark.
  • Proven track record of building software solutions dealing with high data volume
  • Solid understanding of any RDBMS, Data warehousing concepts and data modeling concepts
  • Proficient in any one/more programming language - Python, Java, Javascript, Perl, Scala etc.
  • Strong knowledge of at least one BI reporting tool - Power BI, Microstrategy, Tableau, Qlikview etc.
  • Adapt to new tools and technologies in traditional BI space, Microsoft Azure and Hadoop ecosystem
  • Experienced in developing software using Agile methodologies
  • Strong verbal and written communication skills. Ability to explain technical concepts to non-technical audience
  • Experience in Hadoop data ingestion would be a big plus
Retail domain experience would be a big plus