Python Developer with PL​/SQL | Dallas ​/ Tampa ​/ Jersey City – onsite

Role:

Python Developer with PL/SQL

Location:

Dallas / Tampa / Jersey City - onsite

Duration:

Long Term Contract

Rate:$50-55/hr. on c2c

Must have BFSI domain exp.

Python Developer with PL/SQL

• Programming:
  Advanced Python (OOP, multi-threading, asynchronous programming) and Oracle PL/SQL.
• Data Processing:
  Pandas, Num Py, PySpark, and enterprise ETL toolsets.
• Databases:
  Oracle Database 12c/19c (including deep knowledge of analytical functions and collections).

Bachelor's degree in computer science or a related field

In-depth knowledge of Python software development, including frameworks, tools, and systems (e.g., Num Py, Pandas, Sci Py, PyTorch)

Proficiency with front-end development technologies, such as HTML, CSS, and Java Script

Familiarity with database tools such as SQL and No

SQL and their best practices

Excellent communication and team-building skills

Role
- Senior Python Developer with PL/SQL & Snowflake | Location
- Dallas / Jesrey City / Tampa Senior Python Developer with PL/SQL bridges high-performance backend automation with robust relational database management. Operating within the banking domain| you will build and scale data-driven financial applications| optimize complex transactional databases| and streamline extract-transform-load (ETL) data pipelines for critical systems like risk management| regulatory reporting| or payment processing.

Backend & Data Automation (Python)
Design| build| and optimize scalable financial microservices and REST APIs using FastAPI| Flask| or Django. Process massive transactional datasets using numerical libraries like Pandas| Num Py| and PySpark. Develop and maintain automated workflows| orchestrating jobs with Apache Airflow DAGs. Migrate legacy scripting structures (e.g.| Perl or Bash) into highly observable Python orchestration scripts

Database Programming & Optimization (Oracle PL/SQL)
Design| develop| and maintain complex Oracle SQL and PL/SQL packages| stored procedures| triggers| and functions. Execute intensive database performance tuning using AWR reports| Explain Plans| and advanced indexing. Manage data partitioning strategies (e.g.| exchange partitions) to drastically cut data processing windows. Build data structures ensuring rigorous data integrity| audit trails| and strict transaction handling.

• Programming:
  Advanced Python (OOP| multi-threading| asynchronous programming) and Oracle PL/SQL.
• Data Processing:
  Pandas| Num Py| PySpark| and enterprise ETL toolsets.
• Databases:
  Oracle Database 12c/19c (including deep knowledge of analytical functions and collections).
• Messaging & Events:
  Apache Kafka| RabbitMQ| or IBM MQ.
• Dev Ops & Cloud:
  Git| CI/CD pipelines (Jenkins/Git Lab)| Docker| Kubernetes| and cloud environments like AWS or Snowflake.

Professional Background

Experience:

Minimum of 8+ years of professional software engineering experience| with at least 3 years inside a financial institution or banking tier.

Education:

Bachelors degree in Computer Science| Financial Engineering| Management Information Systems| or a related field