DATA ENGINEER –  AI

Location: Gurgaon

Employment Type: Full time

Experience: 5- 8 years

Position Summary:

Absolutdata is looking for smart and energetic individuals who love to dive into new and different problems, push the boundaries of innovation and with their knowledge of Artificial intelligence tools, bring in multiple AI components into the NAVIK AI platform and products. Ideal candidate enjoys learning new concepts and areas of applications, with the aid of creative thinking and sound problem solving skills.

Key Responsibilities:

  • Sound understanding of cloud based software solutions like AWS
  • The individual should be well versed with using Google/Amazon or other APIs that provide AI capabilities and utilize them for product development.
  • Broad and deep knowledge of multiple IT technology domains including software development languages and platforms, infrastructure platforms, data management and database technologies, networking technologies and security frameworks and tool
  • Programming background with expertise in Java/J2EE (Spring Framework) . Knowledge of Python is added advantage

Qualifications and Skills:

  • Bachelor’s degree in Computer Science OR Master’s degree in Statistics/Economics/Business Economics/Econometrics/Operations Research
  • 4 – 8 years of experience in the Technology space with at least 2 years of experience in Artificial intelligence
  • Good Knowledge of utilizing Amazon / Google APIs
  • Have relevant experience with Big Data technologies such as Hadoop and the related ecosystem
  • Practical experience and in-depth understanding of Map Reduce / Hive / Spark / Pig / Flume / Sqoop / NoSQL

Technical skills – Desirable

  • Significant experience in Technical Design and Architecture
  • Enterprise Integration expertise using SOA, Canonical Data Model, ESB, WebServices, Rest
  • APIs
  • Extensive expertise with various s/w-development methodologies; Agile-Scrum, Waterfall, RAD
  • Expertise in Data Modeling – both relational data modeling (SQL, Oracle, etc.) for transactional applications, dimensional data modeling for analytical applications and distributed databases for handling big data
  • Good in performance tuning especially tuning complex queries, procedure and indexing strategies

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