Job Title: Python Developer-Full Stack Senior

Location: McLean, VA (Onsite) - Locals Only

Duration: 6 Months

Interview Type: In-Person Interview

Job Description

The position requires knowledge of model coding using Python to build out the financial forecasting models. Knowledge of coding of other financial model languages preferred.

Responsibilities

• Work closely with Model Implementation and I&CM BTO support teams to support technology delivery activities in support of Data Transformation Program.
• Play a key role in analyzing and converting complex SQL queries to align with new data sources, supporting large-scale data migrations, and ensuring seamless data integration across multiple systems.
• Update and or build applications to source securitization data from data warehouses.
• Support and execute data migration activities, ensuring data integrity and accuracy.
• Work with Snowflake for data warehousing, migration, and advanced analytics.

Basic Requirements:

• 5+ years of Python and coding experience is a must.
• 5+ years of hands-on experience with SQL, including complex query analysis and optimization.
• 3 years of experience in integrating with Snowflake APIs for data extraction and manipulation.
• 5-10 years of IT experience in design, development, integration and testing of software solutions based on Python, REST Webservices, and web development.
• 5-10 years of experience with relational databases including Sybase, SQL Server, and MySQL. Good knowledge and experience with database technologies such as SQL and NoSQL
• Demonstrated ability to analyze and join large datasets across multiple sources.
• 5 years of experience with managing, building, and deploying code through tools including Jira, GIT, Bitbucket, Gradle, Linux, Docker, and Jenkins.
• 5 years of experience designing and executing unit tests using python testing framework based on business requirements and functional specifications.
• Automation Testing: Pytest, Unitest, Monkey patch, pytest-mockito etc.
• 5 years of experience with popular Python frameworks such as Django, and FAST API.
• In-depth understanding of the Python software development stacks, ecosystems, frameworks and tools such as Numpy, Scipy, Pandas, sci-kit-learn.
• Build CI/CD Tools: gradle, Jenkins, git, Conda, pip, Jira, Gitlab, Confluence
• Bachelor’s degree in computer science or related field.

Preferred Skills:

• Work independently contributing to the success of assigned project(s).
• Collaborate with cross-functional teams including data architects, business analysts, and project managers.
• Demonstrated business acumen, problem solving skills, intellectual maturity, and relationship management skills.
• Prior Freddie Mac experience and understanding Corporate Data Warehouse is a plus.
• Experience with ETL tools and data pipeline orchestration