AWS Data engineer-(Initial Remote, then Onsite)

Position: AWS Data Engineer Location: Hartford, CT or St. Paul, MN or Hunt Valley, MD (Initial Remote, then Onsite) Duration: Fulltime Any visa okay, will do an H1B transfer. Interview Process (all interviews will be on video mode only):

• Independently perform tasks to support the data preparation for Machine learning models using Python.
• Ability to develop basic models and interpret model results
• Moderate working knowledge of modeling/research /analytics or actuarial required
• Develop domain and business knowledge to build statistical models.
• Understands where to obtain information needed to make the appropriate decisions
• Demonstrates ability to break down a problem to manageable pieces and implement effective, timely solutions
• Identifies the problem versus the symptoms
• Manages problems that require involvement of others to solve
• Reaches sound decisions quickly
• Develops solutions to meet business needs that reflect a clear understanding of the objectives, practices and procedures of the corporation, department and business unit
• Candidate must be experienced working in projects involving data migration on AWS

• 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

• 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

• Bachelor's degree or equivalent training with data tools, techniques, and manipulation.
• Four years of data engineering or equivalent experience."