Python Developer

Key Responsibilities:

• 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

Qualifications:

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

Preferred Qualifications:

Experience with

AWS Glue

Experience with

Apache Spark

Experience with

Snowflake

• Experience with asyncio/asynchronous processing
• API or microservices development experience
• Experience working with large-scale data ingestion or conversion

Data engineering background

• Familiarity with data modeling concepts
• Experience supporting production systems and improving reliability