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Lead Python Data engineer 12+years of experience - Houston, United States - Hirextra -World's First Staffing Aggregator
Description
Role : Lead Python Data Engineer years of experience
Location:Houston, TX (Onsite)
Duration : 12 months
Job Description:
We are currently seeking an experienced Python Data Engineer to join the Big Data and Advanced Analytics department.
As part of the Data Engineering team, the Lead Python Data Engineer will work closely with Business domain experts and Data Scientists to solve real-world oil and gas midstream problems using advanced analytics, machine learning, and artificial intelligence.
This individual will provide analytical and technical leadership to the team to advance the data engineering practice within the organization.
Responsibilities include:
Work directly with Business domain experts and Data Scientists to develop high quality, reliable, scalable, machine learning systems
Design and implement frameworks and tools to streamline the machine learning process
Automate manual data collection and processing tasks to improve efficiency
Leverage software architecture and design patterns to develop fault tolerant microservices
Convert research-based machine learning models into production-ready software
Implement processes to ensure coding standards, code quality, documentation, and test coverage
Qualifications:
The successful candidate will meet the following qualifications:
10+ years of programming experience in Python
Expertise in developing and maintaining data pipelines
Experience in testing, packaging, and deploying machine learning models
Experience in software engineering practices such as Design Principles and Patterns, Unit Testing, Refactoring, CI/CD, and version control
Expertise in Object-Oriented Design Principles and Functional Programming Principles
Experience with common Python Data Engineering packages including Pandas, Numpy, Pyarrow, Pytest, Scikit-Learn, and Boto3
Experience in storage technologies including SQL relational databases and Object Storage such as AWS S3
Experience in implementing distributed computing systems
Experience in designing modular, reusable software components
Experience in developing API endpoints and microservices
Knowledgeable of MLOps Principles
Knowledgeable of ML platform technologies including Apache Airflow, Kubernetes, Dask, Ray, and MLFlow
Note: Interested candidate can send CV'S to Anitha@
