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Big Data Architect
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10+ Years

BE,MCA,B.Tech, M.Tech


Ahmedabad / Pune

Job Description

  • Understand company needs to define platform specifications
  • Plan and design the architecture of the data platform
  • Partner with business partners to understand the need for data and form in which data required
  • Evaluate and select appropriate software or hardware and suggest integration methods
  • Oversee assigned programs (e.g. conduct code review) and provide guidance to team members
  • Assist with solving technical problems when they arise
  • Ensure the implementation of agreed architecture and infrastructure
  • Address technical concerns, ideas and suggestions
  • Monitor systems to ensure they meet both, user needs and business goals.

Skills Required:

  • Proven experience as a Big Data Architect
  • Strong Background in Big Data Infrastructure, Engineering and Development and working with Big Data and Hadoop File System
  • Hands-on Experience with Hadoop Eco system (HDFS, SQOOP, Hive, PIG, Spark, Scala)
  • Successful background as an architect on EDW/Data Lake projects
  • Understanding of strategic IT solutions
  • Experience in building Cloud native, container-based solutions
  • If you’re interested kindly share below detail with updated resume.
  • Cloud services: AWS, GCP, Azure
  • 10 + years’ experience managing an agile design driven, user-centered product and development team
  • Proven ability to partner effectively across functions, with an exposure to complex organizations and the ability to gain shared vision on product decisions and priority trade-offs
  • Patience and commitment, with willingness to navigate environments though product knowledge and leadership style. Self-motivated with a willingness to learn and adapt in a changing environment
  • Experience supporting and working with cross-functional teams in a dynamic environment.
  • Experience researching industry trends and applying to product strategy & roadmap
  • Strong project management and using agile process within test driven development
  • Big data ecosystem tools: GCP Big Query, AirFlow, Spark, or similar tools.
  • Cloud services: AWS, GCP, Azure
  • Excellent communication skills, both verbal and written, with meticulous attention to detail. Ability to communicate technical issues simply to help drive fast decisions

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