Senior Python Fullstack Developer - 14+ years experience

Responsibilities:

·         Work closely with LPMS Business, SF Securitization, 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 LPMS applications to source securitization data from Nexus.

·         Support and execute data migration activities, ensuring data integrity and accuracy.

·         Work with Snowflake for data warehousing, migration, and advanced analytics.

Basic Requirements:

·         12+ years of Python and microservices experience is a must.

·         7+ years of hands-on experience with SQL, including complex query analysis and optimization.

·         2– 3 years of experience in integrating with Snowflake APIs and/or GraphQL for data extraction and manipulation.

·         7-10 years of IT experience in design, development, integration and testing of software solutions based on Python, REST/SOAP Webservices, and web development.

·         7-10 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.

·         Proficient in integrating with Snowflake APIs and/or GraphQL for data extraction and manipulation.

·         3-5 years of experience with managing, building, and deploying code through tools including Jira, Eclipse, GIT, Bitbucket, Gradle, Docker, and Jenkins.

·         3-5 years of experience designing and executing unit tests using python testing framework based on business requirements and functional specifications. 

·         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, Dask, spaCy, NLTK, sci-kit-learn.

·         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