Our ideal candidate will have the following responsibilities:


  • Owning and delivering installation and configuration of AI products.
  • Participating in solution architecture discussions to estimate hardware sizing.
  • Analysing defects and conducting effective triaging.
  • Working closely with engineering, product, solution architects in resolving defects.
  • Proactively participating in product release cycle and signing off on client releases.
  • Supporting current ETL designs and coding to resolves defects on existing solutions
  • Ensuring data quality
  • Translating data access, transformation, and movement requirements into functional requirements and mapping designs.
  • Developing logical and physical data flow models for ETL applications.
  • Documentation and Training
  • Communicating effectively with the client and manage expectations.

Must-Have Requirements

  • 2+ years of experience with big data application stack including HDFS, YARN, Spark, Hive and Hbase.
  • 1+ years of experience in AWS Cloud Setup
  • 1+ years of experience in Enterprise SW installation especially packages

Good to have experience/skills

  • 1- or 2-year experience in ETL in Big Data hadoop environment (Hive/Hbase knowledge).
  • 1 or 2 years of experience in shell scripting or python.
  • 2+ years of experience in Hadoop Big Data projects Experience with developing, tuning and debugging code, python/shell scripts loading into Hive, Mariadb, mysql.
  • Experience setting up enterprise security solutions including setting up active directories, firewalls, SSL certificates, Kerberos KDC servers, etc.
  • Experience working with CI/CD tools like Jenkins and various test report and coverage.
  • Experience defining and automating the build, versioning and release processes for complex enterprise products.
  • Knowledge of python and hands-on coding experience is a plus.
  • PySpark understanding and experience
  • Client interaction. 

Desired Non-technical Requirements

  • Good verbal and written communication skills.
  • Team Player.
  • Strong desire to work with startups.

Compensation & Job Perks

  • Opportunity to build AI and Analytics products for Global Markets
  • Opportunity to innovate, Learn and Grow
  • Attractive variable compensation package
  • Flexible working hours - everything is results-oriented
  • Opportunity to work with an award-winning organization in the hottest space in tech - artificial intelligence and advanced machine learning.

Get in touch with us

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