Develop and maintain backend solutions using Python
Build, enhance, and support ETL/data pipelines
Automate existing data ingestion and conversion processes
Support the migration and integration of historical voice data into enterprise systems
Process and transform large-scale datasets using PySpark/Spark
Develop solutions for data processing, ingestion, and workflow automation
Troubleshoot pipeline and platform issues and improve system stability
Support technical and network-related upgrades
Occasionally contribute to APIs and microservices
Collaborate closely with Data Science and engineering teams
Work independently to manage assigned deliverables and priorities
Proactively identify, communicate, and escalate technical risks or issues
Partner with the Tech Lead to design and implement reliable solutions

Targeting approximately 3–5+ years of relevant experience
Candidates with 5+ years of directly relevant experience are preferred
Priority is given to hands-on experience with Python, AWS, ETL, PySpark, and SQL rather than total years of experience
Highly experienced candidates may be considered, provided their background and compensation expectations align with the role
Strong professional experience developing in Python
Hands-on experience with AWS
Strong ETL and data pipeline development experience
Strong PySpark experience
Solid SQL skills
Strong backend engineering fundamentals
Experience with data ingestion, processing, transformation, or automation
Ability to work independently with limited supervision
Strong communication and collaboration skills

Python Developer

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