Senior Data Engineer

TELUS Digital; Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

TELUS Digital is seeking a data engineer to design and operate scalable data pipelines using Python and PySpark in a cloud-first environment. You will collaborate with GCP/AWS services to build end-to-end data workflows for ingestion, transformation, and storage, while ensuring data quality and reliability across analytics platforms.

This role emphasizes fast delivery, automation, and strong ownership in a dynamic team, with opportunities to innovate using Generative AI tools and modern CI/CD

Qualifications

• Proficient in Python and PySpark.
• Experience with GCP and AWS.
• Strong ETL/ELT, data warehouse and data lake concepts.
• Relational databases (PostgreSQL/MySQL) and MongoDB.
• Delivery-focused and results-driven.
• Self-starter with minimal supervision.
• Familiar with GenAI automation.

Responsibilities

• Build, deploy, and manage data pipelines using Python and PySpark.
• Develop and optimize ETL/ELT processes for data integration.
• Work with GCP and AWS to implement cloud data solutions.
• Own data workflows end-to-end from ingestion to storage.
• Monitor and improve pipeline reliability, speed, and data quality.
• Use GenAI and automation tools to speed up development.
• Debug, troubleshoot, and resolve data engineering issues.
• Ensure data is trustworthy for analytics and downstream systems.
• Deliver high-quality code and documentation.

Skills

Python

PySpark

GCP

AWS

ETL/ELT

PostgreSQL

MySQL

MongoDB

Delivery-driven

Self-starter

GenAI automation

SCD/CDC/Streaming

Tools

Docker

CI/CD

Job description

Responsibilities

• Build, deploy, and manage data pipelines using Python and PySpark
• Develop and optimize ETL/ELT processes to support data integration across systems
• Work directly with GCP and AWS services to implement scalable cloud-based data solutions
• Own data workflows end-to-end — from ingestion to transformation to storage
• Continuously monitor and improve pipeline reliability, speed, and data quality
• Use GenAI and automation tools to speed up development and reduce manual effort
• Proactively debug, troubleshoot, and resolve data engineering issues
• Ensure data is available and trustworthy for analytics and downstream systems
• Deliver high-quality code and documentation with a bias for action

Required Skills & Qualifications

• Strong proficiency in Python and PySpark
• Working experience with cloud platforms like GCP and/or AWS
• Solid understanding of ETL/ELT, data warehouse and data lake concepts
• Proficient in working with relational databases—preferably PostgreSQL and MySQL—as well as non‑relational databases, with a focus on MongoDB
• Driven by delivery and results — you get things done efficiently
• Self‑starter attitude with minimal need for hand‑holding
• Excitement for automating work using GenAI or scripting tools
• Familiarity with SCD, CDC, Real‑time Streaming vs Batch‑processing

Nice to Have

• Experience with CI/CD pipelines and Docker
• Understanding of data governance and observability
• Prior experience in fast‑paced, execution-heavy teams

Why Join Us?

• High‑impact role where execution speed is valued and recognised
• Freedom to build, ship, and iterate without red tape
• Work with a lean, high‑performing data team
• Opportunities to innovate with Generative AI tools
• Fast learning environment and ownership from day one

Equal Opportunity Employer Statement

At TELUS Digital, we are proud to be an equal opportunity employer and are committed to creating a diverse and inclusive workplace. All aspects of employment, including the decision to hire and promote, are based on applicant's qualifications, merits, competence and performance without regard to any characteristic related to diversity.