Call Analytics Python Developer

Cynet Systems Inc; Toronto; On-site; CAD 80,000 - 110,000; Full time

Job summary

A leading technology company seeks a Data Engineer to develop and maintain ETL pipelines for processing call center data. The role requires collaboration with stakeholders to create scalable data solutions using Python and various data tools. Ideal candidates will have a bachelor's degree in a relevant field and over five years of experience in data engineering.

Qualifications

• 5+ years of experience in data engineering or analytics development.
• Strong proficiency in Python for data processing.
• Experience with relational and NoSQL databases.

Responsibilities

• Develop and maintain Python-based ETL pipelines.
• Integrate and transform structured and unstructured data.
• Build APIs and data services for real-time analytics.

Skills

Python

Data Engineering

SQL

Data Integration

NLP

Education

Bachelor's degree in Computer Science, Data Engineering, or a related field

Tools

pandas

NumPy

PySpark

Git

Docker

Airflow

Job description

Job Description:

Responsibilities:

• Develop and maintain Python-based ETL pipelines to process call center data from platforms like Client, 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).