Senior Python Developer – Banking Domain
- Location
- Jersey City, New Jersey, United States
- Salary
- USD 53 / hour
- Company
- Akash pawar
Job description
• Role & Company / Project Overview: We are seeking an experienced Senior Python Developer with specialized banking and financial services experience to join the Market Risk Technology team for a long-term project. • Key Responsibilities & Daily Duties: - Develop and maintain core data-driven applications using Python. - Design, build, and optimize ETL/ELT pipelines and robust data processing workflows. - Perform data validation, reconciliation, and automated data quality checks. - Maintain version control, configure CI/CD pipelines via Jenkins, and write automated tests. - Provide hands-on production support, system monitoring, and issue troubleshooting. - Work within an Agile/Scrum framework and collaborate closely with cross-functional stakeholders. • Required Qualifications, Skills & Experience: - Required Skills: - Strong hands-on Python development experience. - High proficiency in Pandas, NumPy, and complex data processing. - Experience with relational databases: SQL, Oracle, PostgreSQL, or SQL Server. - Proven experience with ETL/ELT and data pipeline development. - Solid knowledge of data validation, reconciliation, and quality checks. - Hands-on experience with Git, Jenkins, CI/CD, and automated testing frameworks. - Background in production support and troubleshooting. - Experience working in Agile/Scrum environments and direct stakeholder collaboration. - Substantial banking or financial services industry experience. - Preferred Skills: - Experience with Databricks, PySpark, Delta Lake, and Unity Catalog. - Familiarity with cloud platforms: AWS / Azure, S3 / ADLS, and IAM. - Domain expertise in Market Risk: VaR, Greeks, sensitivities, stress testing, and P&L decomposition. - Exposure to Generative AI tools for coding, testing, and documentation. - Eligibility & Work Authorization: - Work authorization strictly restricted to USC / Green Card (GC) / GC-EAD only. - Candidate's resume and LinkedIn profile must accurately match. • Working Hours, Shifts & Location Details: - Location: Jersey City, NJ. - Work Mode: 5 Days Onsite (strictly local candidates only). - Interview Process: In-person interview required. • Compensation & Benefits: - Rate: $53/hr C2C. - Duration: Long-Term Project. • Application Instructions: - Submission requirements: Qualified candidates or vendors must share an updated resume and LinkedIn profile.