Responsibilities:

  • Owns and delivers installation, configuration of AI products.
  • Participates in solution architecture discussions to estimate hardware sizing.
  • Analyses defects and conducts effective triaging.
  • Works closely with engineering, product, solution architects in resolving defects.
  • Proactively participates in product release cycle and sign off on client releases.
  • Supports current ETL designs and code to resolves defects on existing solutions.
  • Ensures data quality.
  • Translates data access, transformation, and movement requirements into functional requirements and mapping designs.
  • Develops logical and physical data flow models for ETL applications.
  • Documentation and Training.
  • Communicates effectively with the client and manage expectations.

Desired Non-technical Requirements:

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

Must-Have Skills:

  • 2+ years of experience in working 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 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, mysq
  • 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

Job Perks

  • 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

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