Python Full Stack Data Engineer

The minimum required skills include:

· Self-motivated and creative; comfortable with building from ground up and with analyzing legacy code for the purposes of cloud migrations.

· Experience in hands-on SQL

· Experience working with structured/semi-structured/unstructured data
Advanced SQL, RDBMS knowledge (e.g. SQL Server, Oracle, DB2)
Experience with Snowflake is a big plus, but not required
Hands-on experience with Python, knowledge of common frameworks and packages; comfort working in Windows and Linux environments
Experience with at least some (and ideally most) AWS services (S3, Lambda, ELB, ALB, EC2, EMR, API Gateway, RDS, ElasticSeach, ElastiCache Redis, Glue)
Experience with data streaming and micro-batching is a plus
Good communicator and team player
Solid understanding of algorithms and data structures

An ideal candidate (is not required to, but) will also have: 
Familiar with Open Source/ commercial database management tools
Familiarity with Continuous Deployment pipelines and configuration (e.g. Jenkins, Chef, Docker)
Exposure to Netezza, Exadata ecosystem
· Some understanding of either General or Life Insurance Market/ Products data/business domains
· Some understanding of Financial Services/Capital Markets/Asset Management industries
· Basic understanding of networking and internet technologies