Gcp Data Engineer (Snowflake)
- TELUS International
- 5 - 10 years
- Noida, Gurugram
- 4 months ago
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Job Description
Mandatory skill- Advance Python & SQL GCP Services- BigQuery, Dataflow, Dataproc and Pub/Sub.
Key Responsibilities
- Design, develop and optimize scalable data pipelines and ETL workflows using Google Cloud Platform (GCP), particularly leveraging BigQuery, Dataflow, Dataproc and Pub/Sub.
- Design and manage secure, efficient data integrations involving Snowflake and BigQuery.
- Write, test and maintain high-quality Python code for data extraction, transformation and loading (ETL), analytics and automation tasks.
- Use Git for collaborative version control, code reviews and managing data engineering projects.
- Implement infrastructure-as-code practices using Pulumi for cloud resources management and automation within GCP environments.
- Apply clean room techniques to design and maintain secure data sharing environments in alignment with privacy standards and client requirements.
- Collaborate with cross-functional teams (data scientists, business analysts, product teams) to deliver data solutions, troubleshoot issues and assure data integrity throughout the lifecycle.
- Optimize performance of batch and streaming data pipelines, ensuring reliability and scalability.
- Maintain documentation on processes, data flows and configurations for operational transparency.
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Required Skills
- Strong hands-on experience of 5+ years with GCP core data services: BigQuery, Dataflow, Dataproc and Pub/Sub.
- Proficiency in data engineering development using Python.
- Deep familiarity with Snowflakedata modeling, secure data sharing and advanced query optimization.
- Proven experience with Git for source code management and collaborative development.
- Demonstrated ability using Pulumi (or similar IaC tools) for deployment and support of cloud infrastructure.
- Practical understanding of cleanroom concepts in cloud data warehousing, including privacy/compliance considerations.
- Solid skills in debugging complex issues within data pipelines and cloud environments.
- Effective communication and documentation skills.
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Great to Have
- GCP certification (e.g., Professional Data Engineer).
- Experience working in regulated environments (telecom/financial/healthcare) with data privacy and compliance focus.
- Exposure to additional GCP services such as Cloud Storage, Cloud Functions or Kubernetes.
- Demonstrated success collaborating in agile, distributed teams.
- Experience with data visualization tools (e.g., Tableau, Looker) is nice to have.
- EST Shift
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data EngineerEmployement Type: Full timeContact Details:
Company: TELUS InternationalLocation(s): Noida, Gurugram
Keyskills: Pubsub SQL Snowflake Gcp Services Python Modelling Techniques Bigquery Google Cloud Services Dataproc Cloud Storage Cloud Sql Cloud Orchestration Cloud Pubsub Data Flow
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