Senior Python Full stack Developer

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.

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