Lead Python Engineer

Overview

Remote
Depends on Experience
Contract - Independent
Contract - W2

Skills

DevOps pipelines
Github
Jenkins
Banking
Financial
AWS Cloud
Python
Java
Pyspark
Snowpark
Machine Learning

Job Details

Minimum of 12 years of IT experience

Extensive experience working in Banking and Financial domains and good functional knowledge in Banking and its products.

Deep Understanding AWS cloud platform technology, architecture and service components.

Multiyear hands on experience in DevOps pipelines in both cloud and on-prem solutions is required. Extensive experience in working CICD Pipelines using Github actions, Jenkins, Cloudbees etc; Github actions preferred

Extensive experience building Data warehouses and Data Lakes in cloud and on-prem

Extensive experience in ETL pipeline using Native Coding Python, Java etc.; Python Preferred

Extensive experience in Code storage repositories GitHub, Bitbucket etc; Github preferred

Preferred experience with Pandas, Polaris, Pyspak, Snowpark Data frames

Preferred experience with Machine learning models, feature stores, Sagemaker or other AI tools.

Preferred experience with Snowflake Administration and associated emerging services.

Extensive experience with Data Modelling concepts Star Schema, Snowflake Schema, Data Vault etc. and hands on Data Modelling using Erwin

Extensive experience in solutioning and designing OLAP applications

Soft Skills:

Strong Communication, collaboration, negotiation and leadership skills are required for this position. Ability to influence decisions is highly desirable.

Should be able to work independently with ownership of the complete projects and tasks.

Looking for resources with high quotient to learn and adapt; with a can-do attitude. Looking for people not afraid to take risks and think outside the box

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.