Sr. Applications Developer

US Health Partners, LLC; Dadri; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

TELUS Digital is seeking a Senior Data Engineer with 7+ years of hands-on experience in Google BigQuery, SQL, Python, Apache Airflow, DAG development, CI/CD, and DevOps practices. You will design, develop, optimize, and support scalable data pipelines on the Google Cloud platform.

The role requires collaboration with engineering, analytics, and business teams. This hybrid role is located in Noida, India, with in-office presence.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 7+ years of data engineering experience.
• Strong hands-on experience with Google Cloud Platform.
• Proficient in SQL, Python, and data warehousing.
• Experience with Apache Airflow and DAG development.
• Familiarity with CI/CD and DevOps practices.

Responsibilities

• Design scalable data pipelines on Google Cloud.
• Develop BigQuery data models and data warehouses.
• Optimize queries and manage costs.
• Collaborate with engineering, analytics, and business teams.
• Own CI/CD pipelines and DevOps practices.

Skills

Google BigQuery

SQL

Python

Apache Airflow

CI/CD

DevOps practices

DAG development

Data modeling

GCP

Education

Bachelor’s degree in Computer Science, Engineering, or related field

Tools

GitHub Actions

GitLab CI/CD

Jenkins

Azure DevOps

Job description

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:

Ourteam at TELUS Digital. To help retain our deep culture of collaboration, this role will maintain an in-office presence in a hybrid capacity . This role can be located in Noida

The Opportunity

We are looking for a Senior Data Engineer with 7+ years of experience and strong hands-on expertise in Google BigQuery, SQL, Python, Apache Airflow, DAG development, CI/CD, and DevOps practices.

The candidate will be responsible for designing, developing, optimizing, and supporting scalable data pipelines and data solutions on the Google Cloud platform. The role requires strong technical ownership, excellent problem-solving skills, and the ability to work closely with engineering, business, and analytics teams.

Responsibilities

• Strong hands-on experience with Google BigQuery.
• Expertise in BigQuery SQL, partitioning, clustering, optimization, and performance tuning.
• Experience designing scalable BigQuery data models and data warehouses.
• Understanding of BigQuery cost optimization and workload management.
• Strong proficiency in SQL.
• Experience writing complex queries, joins, CTEs, window functions, aggregations, and stored procedures.
• Strong understanding of relational databases and data modeling.
• Ability to troubleshoot and optimize SQL queries.
• Strong hands-on experience with Python for data engineering and automation.
• Experience developing reusable, maintainable, and production-quality Python code.
• Good understanding of exception handling, logging, testing, and package management.
• Strong experience with Apache Airflow.
• Hands-on experience designing, developing, scheduling, and monitoring Airflow DAGs.
• Experience with task dependencies, operators, sensors, retries, alerts, scheduling, and failure handling.
• Ability to troubleshoot and optimize Airflow workflows.
• Strong understanding and hands-on experience with CI/CD pipelines.
• Experience automating build, testing, validation, and deployment of data pipelines and Airflow DAGs.
• Experience with tools such as GitHub Actions, GitLab CI/CD, Jenkins, Azure DevOps, or equivalent
• Strong understanding of DevOps principles and practices
• Experience with Git-based development and branching strategies.
• Experience with automated deployments, environment management, monitoring, logging, and release processes.
• Exposure to Infrastructure as Code and cloud deployment practices is desirable.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field

Bonus Points

• Experience with Google Cloud Platform (GCP) services.
• Experience with GCS, Cloud Composer, Dataflow, Pub/Sub, or other GCP data services.
• Experience with dbt or similar data transformation frameworks.
• Experience with REST APIs and SaaS data integrations.
• Experience with data quality and data observability tools.
• Knowledge of Docker/Kubernetes is a plus.
• Experience working in Agile/Scrum environments.

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.

We will only use the information you provide to process your application and to produce tracking statistics. Since we do not request personal data deemed sensitive, we ask you to abstain from sharing that information with us.

For more information on how we use your information, see our Privacy Policy.