Call Analytics Python Developer
Job Description
Description
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Job Summary
We are seeking a technically proficient Call Analytics Developer with strong Python programming skills to design, develop, and maintain analytics solutions that support our call center operations. This role involves working with large volumes of telephony data, building data pipelines, and enabling real-time and historical insights into customer interactions.
Job Summary
We are seeking a technically proficient Call Analytics Developer with strong Python programming skills to design, develop, and maintain analytics solutions that support our call center operations. This role involves working with large volumes of telephony data, building data pipelines, and enabling real-time and historical insights into customer interactions.
Key Responsibilities
- Develop and maintain Python-based ETL pipelines to process call center data from platforms like Genesys, NICE, or Five9.
- Integrate and transform structured and unstructured data (e.g., call logs, transcripts, sentiment scores).
- Build APIs and data services to support real-time analytics and reporting.
- Collaborate with data analysts, engineers, and business stakeholders to define data requirements and deliver scalable solutions.
- Implement data quality checks, logging, and monitoring for analytics pipelines.
- Support speech and text analytics initiatives using Python and NLP libraries.
- Optimize performance of data workflows and ensure compliance with data governance standards.
Required Qualifications
- Bachelor’s degree in Computer Science, Data Engineering, or a related field.
- 5+ years of experience in data engineering or analytics development roles.
- Strong proficiency in Python for data processing (pandas, NumPy, PySpark, etc.).
- Experience with SQL and working with relational and NoSQL databases.
- Familiarity with call center platforms and telephony data structures.
- Experience with REST APIs and data integration tools.
- Knowledge of version control (Git) and CI/CD practices.
- Preferred Qualifications:
- Experience with cloud platforms (AWS Lambda, GCP Cloud Functions, Azure Data Factory).
- Familiarity with speech analytics tools (e.g., CallMiner, Verint, NICE).
- Exposure to NLP libraries (spaCy, NLTK, Hugging Face Transformers).
- Experience with containerization (Docker) and orchestration (Airflow, Prefect).”
Seniority level
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Seniority level
Entry level
Employment type
-
Employment type
Contract
Job function
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Job function
Information Technology
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Industries
IT Services and IT Consulting
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Company
J&M Group
Location
Toronto
Country
Canada
Salary
100.000
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