Gcp Data Engineer

Who We Are:

We are a Digital Customer Experience organization, with a comprehensive coverage of IT Services from Traditional Services to Next Gen Digital Services. At TELUS Digital, we focus on lean, agile, human-centered design. We have been in the technology business since 2002, with HQs in California, USA. TELUS Digital also invests in R&D where innovators, researchers and visionaries collaborate to explore emerging customer experience tech to disrupt the future.

We are about 70,000 employees working across 35 delivery centers across Asia, Europe, North America & Near shore in Central America & Canada.

We are focused on enabling Digital Transformation for our customers by driving Innovation & Automation through self-service options like AI Bots, Robotic Process Automation etc. for hyper personalized, secure, on demand, and elastic solutions. Our workforce is connected to drive customer experience in Media & Communications, Travel & Hospitality, eCommerce, Technology, Fintech & Financial services & Healthcare domains.

How we Help you Grow:

Our development programmers are designed to promote technical growth, enhance leadership and relationship skills across individuals. To stimulate your career growth, a vast array of in-house training programs which are listed below, but not limited to:-

Job Title: Gcp Bigquery

Work Mode

Years of Exp: 4- 10year

Shift Time

Notice- Immediate to 20 Days Preferred

Job Summary:

• We are seeking a talented Google BigQuery Data Developer to join our data engineering team. The ideal candidate will have extensive experience working with Google BigQuery, developing complex data models, optimizing SQL queries, creating efficient workflows as well as visualizations. Experience with Looker development will be considered a strong advantage.
• Required Skills:
• Develop and manage nested and partitioned tables in Google BigQuery to support scalable data architecture.
• Design and implement efficient data models that optimize storage, query performance, and data retrieval.
• Write, optimize, and maintain complex SQL queries and procedures in BigQuery.
• Ensure that all queries and data transformations are optimized for performance and cost efficiency.
• Develop and maintain views to support analytics and reporting needs.
• Working experience with any data visualization tool.
• Work with stakeholders to develop and optimize reports and dashboards, ensuring data accuracy and timeliness.
• Design and implement data workflows using BigQuery and other GCP tools to automate data processing and ETL tasks.
• Collaborate with data engineers and analysts to create and maintain robust data pipelines.
• Ensure the reliability and scalability of workflows, making adjustments as needed to improve performance.
• Collaborate with BI teams to integrate BigQuery data into reporting platforms like Looker.
• Implement and maintain data quality checks and validation processes within BigQuery workflows.
• Ensure that data is secure, compliant, and follows best practices for data governance.
• Work closely with data analysts, data scientists, and other stakeholders to understand their data needs and deliver solutions.
• Communicate technical details to non-technical stakeholders, ensuring they understand the impact of data developments.
• Participate in code reviews, documentation, and knowledge-sharing sessions to improve team practices.
• Qualifications:
• Strong experience with Google BigQuery, including complex SQL, table partitioning, and query optimization.
• Experience in creating and managing nested and partitioned tables in BigQuery.
• Proficient in developing and maintaining views, stored procedures, and data models.
• Hands-on experience with workflow automation tools and techniques in the Google Cloud Platform (GCP) ecosystem.
• Strong understanding of data warehousing concepts and best practices.
• Excellent problem-solving skills with a focus on performance optimization and scalability.
• Strong communication skills with the ability to work effectively with both technical and non-technical stakeholders.
• Experience with Looker and LookML development will be a strong added advantage.
• Willing to work till noon EST Shift.

How will this opportunity be a catalyst in your career graph?

To stimulate your career growth, a vast array of in-house training programs which are listed below, but not limited to:-

Trending technical skills

Business domain & customer interaction

Behavioral & effective communication

Transparent work culture to lift your ideas & initiatives at enterprise level & investment to execute successfully.

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.