Python Developer

mthree Recruiting Portal•New York, NY

3d•$85,000 - $120,000•Onsite

About The Position

We are looking for a Python Developer in Data Engineering to join a dynamic team for one of our clients. This role is ideal for someone interested in distributed systems, working with highly scalable and reliable services, and thriving in a fast-moving environment. You will tackle new technological challenges, solve hard problems, and learn from exposure to a fluid environment while helping clients with their challenges. A strong belief in teamwork, a desire for personal and professional growth, and attributes like grit, drive, and a deep sense of ownership are highly valued. As an intermediate-level Python developer in data engineering, you'll design, build, and maintain data pipelines to extract, transform, and load data, ensuring data quality and scalability while collaborating with cross-functional, cross-regional teams.

Requirements

Proficiency in Python, with a strong understanding of object-oriented programming principles.
Data Structures and Algorithms: Familiarity with common data structures and algorithms and corresponding usage in practical solutions.
Data : Experience with data libraries(e.g., Django, Flask, NumPy, Pandas).
Familiarity with(e.g., PostgreSQL, MySQL) and/or NoSQL databases (e.g., MongoDB).
Familiarity with data storage technologies (e.g., data lakes, distributed file systems).
Knowledge of ETL tools (e.g., Apache Airflow, Apache Kafka).
Experience with orchestration tools & cloud computing platforms (e.g., Ansible, Terraform/Kubernetes, AWS, Azure, GCP).
Familiarity with modern CI/CD frameworks and tools (e.g., Git, Jenkins, Github)
Hands on experience with Linux
Demonstrated ability to troubleshoot problems and debug to identify root cause.
Demonstrate ability to think outside of the box.
1-4 years of experience in software development with a focus on Python & data.
Must be currently authorized to work in the United States on a full-time basis. The Company will not sponsor applicants for work visas.

Responsibilities

Designing, developing, and implementing software applications, scalable data pipelines using Python and related technologies.
Optimize data workflows to handle large datasets efficiently.
Writing clean, efficient, and maintainable code that meets industry standards.
Developing and managing databases and applications.
Implement data extraction, transformation, and loading (ETL) processes.
Writing and documenting effective APIs.
Testing software at scale to ensure responsiveness and efficiency.
Ensure data accuracy, consistency, and completeness.
Identify and resolve data issues or anomalies.
Collaborating with team members, stakeholders, and other developers to define project requirements and develop technical solutions.
Participating in code reviews to ensure code quality and best practices.
Troubleshooting, debugging, and upgrading software.
Identifying and resolving performance issues and bugs.
Contributing to the documentation of code and projects.