ETL data processing with Python
We are looking for a talented Python developer to work with our analytics and data science back-end. This role will include productizing algorithm and machine learning scripts to improve performance. Building deployment and validation processes. The ideal candidate will have the ability to break up complex problems into manageable parts. Delegate and prioritize tasks to internal and external resources. Collaborate with the data science and ops teams. Report progress to management and users.
Requirements
2 to 5 years of Python experience, functional and OOP style
Should be comfortable with: SQLAlchemy, NumPy, Pandas, SciPy, Boto3
Strong SQL, MySQL or PostgreSQL
Experience optimizing and parallelizing code
Experience with asynchronous patterns in Python, Celery or Asyncio
Nice to have
Experience writing scientific software in Python
Background in science or engineering
Experience with a scheduler such as AirFlow or Jenkins
Other technologies: Redshift Spectrum, Spark, Hadoop
Workload: Half-time or Full-time
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123 days13 USD
149 123 days13 USD
I've worked with almost all of those, except Boto3 and "optimizing and parallelizing code". Nonetheless, I've done parallel programming in other languages.
My CV - gildedhonour.me
I'm in the Mexican time-zone. Let's discuss.
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Remote job ? Full time ?
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Workload: Half-time or Full-time
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Give me a task
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