Senior Python Data Engineer Position Available In New York, New York
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Job Description
Senior Python Data Engineer
JOB DETAILS
:
Position:
Senior Data Engineer
Location:
New York, NY (Onsite)
Duration:
12 months (Possible extension)
Must Have:
Strong Python Scripting
NumPy
Strong in writing SQL Queries
Stored Procedures
DB2
Greenplum
Sybase
Snowflake
Kafka
Unix (basic)
Data Analytics
Data Quality
Skills Required:
Strong proficiency of Python with experience developing production-grade data processing pipelines and AI/ML services
Expertise in pandas and familiarity in scikit-learn libraries for data manipulation and machine learning model implementation
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
Familiarity with object-oriented programming (OOP)
Expertise in FastAPI framework for building AI service endpoints and asynchronous processing systems
Good knowledge of Database concepts and writing SQL queries and Stored Procedures
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
Must Have:
Strong Python Scripting
NumPy
Strong in writing SQL Queries
Stored Procedures
DB2
Greenplum
Sybase
Snowflake
Kafka
Unix (basic)
Data Analytics
Data Quality
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
Banking/Financial background is plus only
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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Dice Id:
91159438
Position Id:
PDE-MORG