*Job Title: Python Data EngineerLocation: Houston, Texas Duration: 6+
months*

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



*The successful candidate will meet the following qualifications:*

   - 10+ years in IT and 7+ 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 Principals and Functional
   Programming Principals
   - 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



-- 
*Thanks,*
*Vardhan *
*[email protected] <[email protected]>*

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