ClifyX

AWS Python Data Engineer

Job description

Must Have: AWS Databricks Python, Spark, PySpark

Location Hartford, CT or St. Paul, MN

Candidate has to relocate any one of the onsite location

Roles & Responsibilities
  • Acts as a single point of contact for data migration to AWS projects for customer
  • Provides innovative and cost-effective solution using AWS, Spark, python & customer suggested toolset
  • Optimizes the use of all available resources
  • Develops solutions to meet business needs that reflect a clear understanding of the objectives, practices and procedures of the corporation, department and business unit
  • As a leader in the Cloud Engineering you will be responsible for the overseeing development
  • Learn/adapt quickly to new Technologies as per the business need
  • Develop a team of Operations Excellence, building tools and capabilities that the Development teams leverage to maintain high levels of performance, scalability, security and availability
Skills
  • The Candidate must have 3-5 yrs of experience in PySpark & Python
  • Hands on experience on AWS Cloud platform especially S3, lamda, EC2, EMR
  • Experience on spark scripting
  • Has working knowledge on migrating relational and dimensional databases on AWS Cloud platform
  • Relevant experience with ETL methods and with retrieving data from dimensional data models and data warehouses.
  • Strong experience with relational databases and data access methods, especially SQL.
  • Knowledge of Amazon AWS architecture and design

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