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Description:
Design, develop, test, and maintain extraction, transformation, and loading (ETL) processes using Python, OCR, CV, NLP, LLM, and ML models to ensure data quality and reliability.
Collaborate with stakeholders to understand and translate data requirements into effective ETL solutions.
Integrate ETL models into the developing SaaS product.
Monitor ETL pipelines, troubleshoot issues, and optimize performance for diverse and large datasets.
Perform exploratory data analysis on structured and unstructured data.
Develop web services and user interfaces as needed.
Stay updated with the latest industry trends and technologies related to ETL, data integration, and full-stack development.
Requirements:
Bachelor’s or master’s degree in computer/data science or a related field.
At least 3 years of proven experience as a Python programmer.
Strong English skills.
Excellent problem-solving abilities.
Experience with Git or other version control systems.
Strong communication skills.
Nice to have: Experience with Pandas, NumPy, and Python Objects; RESTful API development; ETL project experience; ML, NLP, LLM, CV, and/or OCR experience; modern front-end UI framework experience; database systems knowledge (MongoDB, SQL, NoSQL) and data warehousing concepts; experience with AWS, Google Cloud, or Azure.
Benefits:
Fully remote workplace.
Mentoring and growth opportunities within an expert team.
Opportunity to work on an innovative and exciting product.
Ability to propose your own initiatives and shape the team culture.