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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