Posted on: 10/10/2025
Description :
Job Title : Data Engineer Google Cloud Platform (GCP)
Location : Bangalore, India
Experience : 38 years
Employment Type : Full-time / On-site (Hybrid options available)
About the Role :
We are looking for a skilled Data Engineer with strong experience in Google Cloud Platform (GCP) to design, build, and maintain scalable data pipelines and infrastructure. The ideal candidate will have hands-on expertise with cloud-native data tools, ETL processes, and data modeling to enable efficient data-driven decision-making.
Key Responsibilities :
- Design, build, and maintain robust data pipelines and ETL workflows on GCP.
- Develop scalable data architectures using BigQuery, Cloud Dataflow, Pub/Sub, and Cloud Storage.
- Collaborate with data scientists, analysts, and business stakeholders to ensure reliable data availability.
- Implement and maintain data quality, monitoring, and governance frameworks.
- Optimize performance and cost of data workflows and queries.
- Manage and maintain data ingestion from multiple structured and unstructured sources.
- Ensure security, compliance, and best practices in data management.
Required Skills & Experience :
- 38 years of experience as a Data Engineer.
- Strong hands-on expertise in GCP data services (BigQuery, Dataflow, Pub/Sub, Cloud Composer, Cloud Functions, etc.).
- Proficiency in SQL and Python for data transformation and automation.
- Experience with data warehousing, data modeling, and ETL frameworks.
- Knowledge of CI/CD, Git, and infrastructure-as-code (Terraform preferred).
- Familiarity with Airflow, Kafka, or other orchestration tools is a plus.
- Strong problem-solving and collaboration skills.
Good to Have :
- Experience with machine learning pipelines or data analytics tools.
- Exposure to other cloud platforms (AWS/Azure).
- Understanding of data security and compliance (GDPR, HIPAA, etc.).
Education :
Bachelors or Masters degree in Computer Science, Engineering, Information Technology, or a related field.
Did you find something suspicious?
Posted By
Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1558704
Interview Questions for you
View All