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Big Data Engineer Lead Associate Architect

Roles & Responsibilities

  • Bachelor’s Degree in Engineering.
  • Strong expertise in SQL.
  • Proficiency in Big Data Querying technologies such as Hive, SparkSQL, Impala, Presto, or Phoenix.
  • Good analytical and problem-solving skills, with the ability to collaborate with various business teams.

Requirements:

  • Work with business teams to understand requirements and resolve technical challenges.
  • Utilize Big Data technologies to analyze and process data.
  • Collaborate with on-shore and off-shore teams to drive consensus.
  • Apply innovative solutions beyond readily available tools.

Job description

Must have:
  • Bachelor’s Degree in Engineering.
  • Strong expertise in SQL
  • Strong expertise in one or more Big Data Querying technologies Hive, SparkQL, Impala, Presto, Pheonix
  • Strong analytical, problemsolving, data analysis and research skills.
  • Ability to work with various business teams to resolve technical challenges and understand requirements.
  • Demonstrable ability to interact, collaborate, drive consensus and confidence among different (of our) groups – both onshore and offshore.
  • Demonstrable ability to think outside of the box and not be dependent on readily available tools
    • Good to have:
      • Good to have exposure of Hadoop Data Lakes created using these distribution (Cloudera, HortonWorks, MapR, EMR, HDInsight, DataProc)
      • Exposure of the Analytics stack of any Public Cloud (AWS, Azure, GCP) will be good to have

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