AWS Data Engineer

Need a Candidate who have relevent experience in AWS, data engineering.

Total experience required 6-10 years (relevant experience minimum 5 years) - - - - - - - - 5 years of proven project experience in Python scripting in Data Engineering (Experience in building and optimizing data pipelines, architectures, and data sets). 3+ Years of experience in Pyspark scripting including architecture framework of spark. 3-5 years of experience in Databases including Schema Design, SQL, Stored Procedures, Triggers and Performance Tuning (Good to have Sybase). Strong understanding of Unix Environment and batch scripting languages (shell/Python). Strong engineering skills with ability to understand existing system designs and enhance or migrate them. Excellent analytical ability and problem-solving skills Strong collaboration and communication skills Excellent Design skills (Design Patterns) Good to have: - - - - - - - Working knowledge on Java Experience in reporting tools such as Business Objects Good understanding of developing ETL processes using Informatica or any other ETL Tools. Familiarity with XML or other mark-up languages Experience working with Source Code Management solutions (eg. Git) Familiarity with standard Agile & DevOps methodology & tools Jenkins, Sonar, Jira Knowledge of Investment Management Business