Developer-Full Stack Professional -
Must Have Qualifications: Candidate must have 4 years of hands-on experience.
Candidates must have experience with SQL, Python (1-3 years), and Cloud knowledge (AWS and Snowflake). Preferred: Tableau.
Job Description
Looking for a proactive, detail-oriented Professional 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:
- 4 - 5 years of IT experience in software design, development, integration, and
testing.
- 4 -5 years of hands-on experience with Python and microservices. Experience with
popular Python frameworks such as Django and FastAPI.
- 3+ years of experience with SQL, including complex query analysis and
optimization.
- 1–3 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.
- Bachelor’s degree in computer science or related field.
Preferred Skills:
- Tableau and other reporting tools experience is a plus
- Experience with OAuth implementation using PING Identity.
- Work independently contributing to the success of assigned project(s).
- Ability to design and lead implementation efforts, collaborating with DevOps,
technical teams, business stakeholders, and external vendors.
- Demonstrated business acumen, problem solving skills, intellectual maturity, and
relationship management skills.
- Experience with ETL tools and data pipeline orchestration
