Senior Data Engineer
TELUS Digital is seeking a Senior Data Engineer to join their AI and data infrastructure team. You will be responsible for building, managing, and optimizing end-to-end data pipelines and ETL processes to support large-scale analytics. The role requires strong expertise in Python, PySpark, and cloud environments like GCP or AWS. You will own data workflows and leverage GenAI tools to enhance delivery speed and infrastructure reliability.
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Experience
Experience not specified
Function
Engineering
Work mode
Onsite, India
Company
Tier 2
What you will work on
TELUS Digital is seeking a Senior Data Engineer to join their AI and data infrastructure team. You will be responsible for building, managing, and optimizing end-to-end data pipelines and ETL processes to support large-scale analytics. The role requires strong expertise in Python, PySpark, and cloud environments like GCP or AWS. You will own data workflows and leverage GenAI tools to enhance delivery speed and infrastructure reliability.
TAL's take
Solid tier-2 global company role with clearly defined technical responsibilities and high-impact project focus.
Clear and well-structured JD defining specific tech stack requirements, project scope, and team context.
Salaries at TELUS Digital
4.0 LPA average
Based on 2 Grapevine salary entries for TELUS Digital.
Other roles
0 - 2 years
3 LPA average
Range: 3 - 3 LPA
Other roles
2 - 4 years
5 LPA average
Range: 5 - 5 LPA
Must haves
- Strong proficiency in Python and PySpark
- Experience with cloud platforms GCP or AWS
- Understanding of ETL/ELT, data warehouse and data lake concepts
- Proficiency in relational databases PostgreSQL and MySQL
- Familiarity with non-relational databases like MongoDB
Tools and skills
Nice to have: ci/cd, docker, data governance, observability.
About the company
Global enterprise B2B service provider with substantial scale and established market presence.
Posts mentioning TELUS Digital
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