Senior Applications Developer

TELUS Digital

. Design, develop, optimize, and support scalable data pipelines and data solutions on the Google Cloud platform .

Posted 10/14/2026full-timeNoida • IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and optimizing scalable data pipelines and solutions on Google Cloud, with strong proficiency in BigQuery SQL and Python for data engineering. Capable of managing CI/CD processes and automating deployments while collaborating effectively with cross-functional teams.

Highest-signal resume keywords

Google BigQueryBigQuery SQL OptimizationPython for Data EngineeringApache AirflowCI/CD Pipelines

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Hard Skills

Data EngineeringSQLData ModelingData WarehousingException HandlingLoggingTestingAutomated DeploymentsInfrastructure as CodeREST APIs

Soft Skills

Technical OwnershipProblem SolvingCollaboration

Tools & Technologies

GitHub ActionsGitLab CI/CDJenkinsAzure DevOpsDockerKubernetes

Industry Keywords

Google Cloud PlatformAgileScrumData QualityData Observability

Tech Stack

Tools & technologies

AirflowApacheAzureBigQueryCloudDockerGoogle Cloud PlatformJenkinsKubernetesPythonSQL

About the role

Key responsibilities & impact

Design, develop, optimize, and support scalable data pipelines and data solutions on the Google Cloud platform
Build and optimize BigQuery data models, data warehouses, SQL queries, and workloads
Develop reusable, maintainable, production-quality Python code for data engineering and automation
Design, develop, schedule, and monitor Apache Airflow DAGs
Troubleshoot and optimize Airflow workflows and SQL queries
Automate build, testing, validation, and deployment of data pipelines and Airflow DAGs
Manage Git-based development, branching strategies, deployments, environments, monitoring, logging, and release processes
Take strong technical ownership and solve complex technical problems
Collaborate closely with engineering, business, and analytics teams

Requirements

What you’ll need

7+ years of experience in data engineering
Bachelor’s degree in Computer Science, Engineering, or related field
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, including 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, production-quality Python code
Understanding of exception handling, logging, testing, and package management
Strong experience with Apache Airflow, including designing, developing, scheduling, and monitoring 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 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
Experience with Google Cloud Platform services is a bonus
Experience with GCS, Cloud Composer, Dataflow, Pub/Sub, or other GCP data services is a bonus
Experience with dbt or similar data transformation frameworks is a bonus
Experience with REST APIs and SaaS data integrations is a bonus
Experience with data quality and data observability tools is a bonus
Knowledge of Docker/Kubernetes is a plus
Experience working in Agile/Scrum environments is a bonus

Benefits

Comp & perks

Hybrid work arrangement with an in-office presence in Noida
Equal opportunity and inclusive workplace
Recruiting privacy policy and personal-data processing transparency
Voluntary demographic survey participation with confidential, aggregate reporting