Python & Database Developer -First round Onsite interview

Zealogics.com•New York, NY
•$50 - $55•Onsite

About The Position

The Python & Database Developer will develop production-grade data processing pipelines and service endpoints using Python and FastAPI, including asynchronous processing systems. The role involves working with databases, writing and optimizing SQL queries and stored procedures, and writing unit tests. The posting seeks someone able to work across multiple projects in a fast-paced environment. The first-round interview is onsite.

Requirements

  • 5–7 years of Python and database experience.
  • Strong proficiency in Python, including experience developing production-grade data processing pipelines.
  • Familiarity with object-oriented programming (OOP).
  • Good knowledge of database concepts, SQL queries, stored procedures, and query optimization.
  • Expertise with FastAPI for building service endpoints and asynchronous processing systems.
  • Working knowledge of Unix.
  • Experience with version control tools, preferably Git.
  • Ability to work independently in a fast-paced environment and across multiple projects.

Nice To Haves

  • Experience working in Agile squads.
  • Finance data domain knowledge.
  • 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.
  • Experience designing and deploying generative AI solutions using LLMs and multimodal models to solve business problems.
  • Expertise in pandas and familiarity with scikit-learn for data manipulation and machine learning model implementation.

Responsibilities

  • Develop production-grade data processing pipelines using Python.
  • Build service endpoints and asynchronous processing systems with FastAPI.
  • Write SQL queries and stored procedures and optimize database queries.
  • Write unit tests, for example using pytest.
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