GCP Data Engineer

TELUS Digital

Dadri

On-site

INR 1,000,000 - 1,500,000

Full time

14 days+

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Job summary

A leading company is seeking a GCP Data Engineer to join their talented team in India. This full-time role involves optimizing and maintaining data pipelines on Google Cloud Platform, ensuring high levels of performance and reliability. The ideal candidate should be proficient in Python and SQL with relevant industry experience to drive customer experience innovation and data management efforts.

Qualifications

4+ years of industry experience in Data Engineering.
Proficient in Google Cloud Platform (GCP).
Familiarity with data pipeline monitoring and optimization.

Responsibilities

Optimize data pipelines to improve performance and reliability.
Automate data processing and management tasks.
Conduct post-incident reviews for data pipeline improvements.

Skills

Data pipeline architectures

ETL processes

Python

SQL

GCP services

Monitoring and alerting for Data Pipelines

Problem-solving

Communication skills

Automation

Tools

Git

Informatica ETL

Control-M

Job description

Join to apply for the GCP Data Engineer role at TELUS Digital

At TELUS Digital, we enable customer experience innovation through spirited teamwork, agile thinking, and a caring culture that puts customers first. TELUS Digital is the global arm of TELUS Corporation, one of the largest telecommunications service providers in Canada. We deliver contact center and business process outsourcing (BPO) solutions to some of the world's largest corporations in the consumer electronics, finance, telecommunications and utilities sectors. With global call center delivery capabilities, our multi-shore, multi-language programs offer safe, secure infrastructure, value-based pricing, skills-based resources and exceptional customer service - all backed by TELUS, our multi-billion dollar telecommunications parent.

Required Skills :

4+ years of industry experience in the field of Data Engineering
Proficient in Google Cloud Platform (GCP) services such as Dataflow, BigQuery, Cloud Storage and Pub/Sub
Strong understanding of data pipeline architectures and ETL processes
Experience with Python programming language in terms of data processing
Knowledge of SQL and experience with relational databases
Familiarity with version control systems like Git
Ability to analyze, troubleshoot, and resolve complex data pipeline issues
Software engineering experience in optimizing data pipelines to improve performance and reliability
Continuously optimize data pipeline efficiency and reduce operational costs and reduce number of issues/failurs
Automate repetitive tasks in data processing and management
Experience in monitoring and alerting for Data Pipelines
Continuously improve data pipeline reliability through analysis and testing
Perform SLA-oriented monitoring for critical pipelines and provide suggestions as well implement post business approval for SLA adherence if needed
Monitor performance and reliability of GCP data pipelines, Informatica ETL workflows, MDM and Control-M jobs
Maintain infrastructure reliability for GCP data pipelines, Informatica ETL workflows, MDM and Control-M jobs
Conduct post-incident reviews and implement improvements for data pipelines
Develop and maintain documentation for data pipeline systems and processes
Excellent communication and documentation skills
Strong problem-solving and analytical skills
Open to work in a 24X7 shift