Description

Required:

  • 10+ years of experience in architecture, design, implementation, and analytics solutions
  • Experience with Solutioning on AWS
  • Data Migration experience from other platforms to AWS
  • In depth understanding of Spark Architecture including Spark Core, Spark SQL, Data Frames, Spark Streaming, RDD caching, Spark MLib.

Desired:

  • Any programming language experience with SQL, Store procedures, Spark/Scala.
  • Strong understanding of Data Modeling and defining conceptual logical and physical data models.
  • Ability to design and demonstrate system Architecture with different environments
  • Ability to deal with both On-Premises and Cloud systems

What you will do : 

  • Architect profile with AWS combination.
  • Data Management, Solutioning, Data Engineering and ETL proficiency using tool / framework which includes programming with Spark/Scala
  • Data Management, Migration experience from other platforms to AWS
  • Drive mentality of building well architected applications for AWS Cloud
  • Drive the mentality of quality being owned by the entire team
  • Identify code defects and work with developers to address quality issues in product code.
  • Finding bottlenecks and thresholds in existing code through the use of automation tools.
  • Articulate clear business objectives aligned to technical specifications and work in an iterative agile pattern daily.
  • Ownership over your work task, and are comfortable interacting with all levels of the team and raise challenges when necessary


 

Education

Any Graduate