Lead GCP Data Engineer

Who We Are

Welcome to TELUS Digital — where innovation drives impact at a global scale. As an award-winning digital product consultancy and the digital division of TELUS, one of Canada’s largest telecommunications providers, we design and deliver transformative customer experiences through cutting-edge technology, agile thinking, and a people-first culture.

With a global team across North America, South America, Central America, Europe, Africa, and APAC, we offer end-to-end expertise across various service offerings: Web, Mobile & Digital Marketing | Enterprise AI | Customer Care AI & Technology | Enterprise Technology Modernization

From mobile apps and websites to voice UI, chatbots, AI, customer service, and in-store solutions, TELUS Digital enables seamless, trusted, and digitally powered experiences that meet customers wherever they are — all backed by the secure infrastructure and scale of our multi-billion-dollar parent company.

Location & Flexibility

India Hybrid: Noida

This is a hybrid role. This model requires the ability to work in a hybrid mode from our office in Noida/Bengaluru (1 to 2 times/ week). Our office culture is designed to foster in-person innovation, collaboration, and connection with team members, local and visiting, from other global offices.

The Opportunity

As a Lead GCP Data Engineer you'll focus on solving problems and creating value for the business by building solutions that are reliable and scalable to work with the size and scope of the company. You will be tasked with creating custom-built pipelines as well as migrating on-prem data pipelines to the GCP stack. You will be part of a team tackling intricate problems by designing and deploying reliable and scalable solutions tailored to the company’s data landscape.

Responsibilities

• Experience in software development, data engineering, business intelligence, or related field with experience in manipulating, processing, and extracting value from datasets.

• Design, build and deploy internal applications to support our technology life cycle, collaboration and spaces, service delivery management, data and business intelligence among others.

• Building Modular code for multi usable pipeline or any kind of complex Ingestion Framework used to ease the job to load the data into Datalake or Data Warehouse from multiple sources.

• Work closely with analysts and business process owners to translate business requirements into technical solutions.

• Coding experience in scripting and languages ( Python, SQL, PySpark).

• Expertise in Google Cloud Platform (GCP) technologies in the data warehousing space (BigQuery, GCP Workflows, Cloud Scheduler, Secret Manager, Batch, Cloud Logging, Cloud SDK, Google Cloud Storage, IAM).

• Exposure of Google Dataproc and Dataflow.

• Maintain highest levels of development practices including: technical design, solution development, systems configuration, test documentation/execution, issue identification and resolution, writing clean, modular and self-sustaining code, with repeatable quality and predictability.

• Understanding CI/CD Processes using Pulumi, Github, Cloud Build, Cloud SDK, Docker

Qualifications

• Bachelor's degree in Computer Science or related technical field, or equivalent practical experience.

• 5 + years of GCP Certified Data Engineer (preferred)

• Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to other engineering teams and business audiences.

• Willingness to work in the afternoon shift from 3 PM to 12 AM IST shift.

Bonus Points

• Work closely with analysts and business process owners to translate business requirements into technical solutions.

• Coding experience in scripting and languages ( Python, SQL, PySpark).

Equal Opportunity Employer

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 applicants’ qualifications, merits, competence and performance without regard to any characteristic related to diversity.

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