Data Engineer-AWS

• Role Overview:
• The person will be part of the EDP Data Platform (EDP) team for a major Insurance client. He/ She will work with different stakeholders for architecting & Building EDP application platform to support client’s internal data teams to onboard, provision data in Data Cloud.
• This application would be architected using Micro Services Architecture to support different workloads like Data marts, Data warehouse, AI/ML.
• The person will also be required to participate actively in brainstorming sessions for improvement opportunities and take it to completion
• A suitable candidate should have 4+ years of experience in developing enterprise-level applications and should possess a go -getter attitude. He/ She should be able to deal with ambiguity.
• Experience in life insurance preferred but not mandatory.
  

Key Responsibilities & Skillsets

• Common Skillsets:
• Superior analytical and problem solving skills
• Should be able to work on a problem independently and prepare client ready deliverable with
  

• Good communication skill for client interaction
• Application development Skillsets:
• Experience in designing, implementation, and testing of Python application with understanding
  

• Programming experience with Python is a must; Java/Scala is a nice to have
• Experience with AWS technologies including AppSync, Lambda, Step Functions, Event Bridge.
• Solid experience of AWS services such as CloudFormation, S3, Glue, EMR/Spark, RDS, DynamoDB,
  

• Knowledge of modern cloud native data warehouses i.e., AWS Redshift, Snowflake or Azure
  

• Experience implementing metadata solutions leveraging AWS non-relational data solutions such
  

• Working experience with Python, and Spark is desired Experience working on Agile projects
• AWS Solutions Architect or AWS Big Data Certification preferred
• Ability to thrive in a high energy, high growth, fast paced, entrepreneurial environment. Willing
  

• Strong organizational, written and verbal communication skills with high attention to detail and
  

• Highly-collaborate team player who can build strong relationships at all levels of the technology
  

Candidate Profile

• Bachelor’s/Master's degree in computer science/engineering, operations research or related analytics areas welcome to apply
• 4+ years’ experience in enterprise application development, preferably in Life Insurance but not
  

• Application development experience
• Team Management
• Superior analytical and problem solving skills
• Outstanding written and verbal communication skills
• Able to work in fast pace continuously evolving environment and ready to take up uphill challenges
• Is able to understand cross cultural differences and can work with clients across the globe