Python Developer

PTR Global; New York (NY); Hybrid; USD 120,000 - 180,000; Full time

Job summary

PTR Global in New York, NY, is seeking a highly motivated Python & Database Developer to join the Data Quality Engineering team. The role focuses on building enterprise-scale data quality solutions enabling governance, regulatory compliance, operational excellence, and risk management.

The candidate will design and develop data quality frameworks, APIs, automation solutions, and database-driven applications supporting onboarding, validation, monitoring, alerting, remediation, and reporting of

Qualifications

• 5-7 years of Python and database experience.
• Proficient in Python for production-grade data pipelines.
• Knowledge of SQL, stored procedures, and query optimization.
• Experience with FastAPI for service endpoints.
• Familiarity with Unix and Git.
• Unit testing with pytest.
• Ability to work in Agile squads.

Responsibilities

• Design and develop data quality frameworks, APIs, automation solutions, and DB-driven applications.
• Support onboarding, validation, monitoring, alerting, remediation, and reporting of data quality issues.
• Contribute to evolution of the DQ platform across multiple business domains.

Skills

Python programming

Data processing pipelines

Object-oriented programming

SQL & stored procedures

FastAPI

Unix

Git

Unit testing with pytest

Agile teamwork

Finance data domain knowledge

Tools

FastAPI

Git

pytest

SQL

Job description

New York New York 10019 3 days on-site / 2 days remote

We are seeking a highly motivated Python & Database Developer to join the Data Quality (DQ) Engineering team. The role focuses on building and enhancing enterprise-scale data quality solutions that enable data governance, regulatory compliance, operational excellence, and risk management across the organization.

The candidate will design and develop data quality frameworks, APIs, automation solutions, and database-driven applications that support onboarding, validation, monitoring, alerting, remediation, and reporting of data quality issues across multiple business domains. The role will contribute to the evolution of the DQ platform and related data management initiatives.

Years of experience:

• 5-7 years of Python & Database experience

Skills Required:

• Strong proficiency of Python with experience developing production-grade data processing pipelines
• Familiarity with object-oriented programming (OOP)
• Good knowledge of Database concepts and writing SQL queries and Stored Procedures and query optimization
• Expertise in FastAPI framework for building service endpoints and asynchronous processing systems
• Working knowledge of Unix
• Experience with version control tools (preferably Git)
• Writing unit tests (e.g. using pytest)
• Self-starter with ability to work in a fast paced environment and be able to work on multiple projects
• Experience of working in Agile Squads is good to have
• Finance data domain knowledge is also desired

Good to Have:

• Understanding of model performance monitoring, model debugging, and logging systems within AI applications
• Experience with containerization and deployment of ML services in enterprise environments
• Experience with anomaly detection algorithms and techniques, particularly isolation forest, clustering, time series analysis, and pattern mining
• Design and deploy generative AI solutions using LLMs and multimodal models to solve business problems
• Expertise in pandas and familiarity in scikit-learn libraries for data manipulation and machine learning model implementation