What are the responsibilities and job description for the Sr. Python Full Stack Developer position at eSolutionsFirst, LLC?
Senior Python Full Stack Developer
6 Months contract – Extensions
McLean , VA– On-site M-F
Interview Type: MS Teams - Video Mandatory | In Person
Must Have Qualifications:
- Python
- SQL
- AWS and Snowflake
- Experience building Data Models
- Python software development stacks Framework Django and FastAPI along with (NumPy, SciPy, Pandas, Dask, spacey, NLTK, scikit-learn).
Job Description:
- Looking for a proactive, detail-oriented Senior Python Developer to support enterprise-wide third-party divisional data integration initiative.
Responsibilities:
- Work closely with Enterprise Third Party Business, MDM, and I&CM BTO support teams to support technology delivery activities in support of Enterprise Third Party Risk Reporting.
- Work with cross functional teams on data model development, design of data integration architecture and solution implementation
- Collaborate with stakeholders to understand their needs and gather detailed business requirements. Basic Requirements:
- 5 - 7 years of IT experience in software design, development, integration, and testing.
- 5 years of hands-on experience with Python and microservices. Experience with popular Python frameworks such as Django and FastAPI.
- 5 years of experience with SQL, including complex query analysis and optimization.
- 3–5 years of experience with relational and cloud databases (e.g., Snowflake, PostgreSQL) and SQL/NoSQL technologies.
- Experience analyzing and joining large datasets across multiple sources.
- Experience in API development and integration, including building and consuming REST-based services for data-driven applications.
- 3–5 years of experience managing, building, and deploying code using tools such as Jira, Eclipse, GIT, Bitbucket, Gradle, Docker, and Jenkins.
- 3–5 years of experience designing and executing unit tests using Python testing frameworks based on business requirements and functional specifications.
- In-depth understanding of Python software development stacks, ecosystems, frameworks, and tools (e.g., Numpy, Scipy, Pandas, Dask, spaCy, NLTK, scikit-learn).
- 2 to 3 years of experience building data processing pipelines using tools such as Apache Airflow, dbt, or similar.
- Experience integrating and ingesting data from multiple sources and designing large-scale data migration and transformation pipelines using PySpark, Databricks, or Airflow.
- 2-3 years of experience working in the cloud environment (AWS preferrable)
- Bachelor’s degree in computer science or related field.