GCP Data Engineer
2 weeks ago
Job Title: GCP Data Engineer
Location: Remote
Openings: 1
Experience: 5+ years
Joining: Immediate
About the Role:
We are looking for an experienced GCP Data Engineer to design, build, and manage scalable data pipelines and cloud-based solutions using Google Cloud Platform (GCP). The ideal candidate will have a deep understanding of cloud data architectures, strong programming skills, and a passion for creating robust, secure, and high-performing data systems.
Key Responsibilities:
- Data Pipeline Development:
Build and optimize scalable batch and streaming data pipelines using Dataflow, Pub/Sub, BigQuery, and other GCP services.
- Data Ingestion & Processing:
Design and develop solutions for ingesting, processing, and transforming structured and unstructured data from diverse sources.
- Data Management:
Manage data storage and access with a focus on performance, scalability, data quality, and cost efficiency.
- Cloud Architecture:
Architect and implement secure, scalable, and cost-effective data solutions on GCP, aligning with industry best practices.
- Security & Governance:
Implement and enforce data governance, security policies, and compliance across all data processes.
- Support & Monitoring:
Deploy monitoring tools, troubleshoot performance issues, and provide L2/L3 support for cloud data systems.
- Documentation:
Maintain clear and detailed documentation of data architecture, pipelines, workflows, and related procedures.
Required Skills & Qualifications:
Education:
- Bachelor's degree in computer science, Information Technology, or a related field is required.
Technical Skills:
- GCP Expertise:
Proficiency in BigQuery, Dataflow, Pub/Sub, Cloud Storage, Cloud Functions, DataProc, etc.
- Programming Languages:
Strong coding skills in Python and SQL for data manipulation and automation.
- CI/CD & DevOps:
Familiarity with CI/CD pipelines, Git workflows, and tools like Jenkins, GitLab, or Cloud Build.
- Monitoring & Troubleshooting:
Proficiency with Cloud Monitoring, Cloud Logging, and debugging tools to ensure uptime and performance.
Preferred Qualifications:
- GCP Certification (e.g., Professional Data Engineer or Cloud Architect)
- Experience in data migration from on-prem or other cloud platforms to GCP
- Familiarity with Kafka, Spark, or similar distributed processing frameworks
- Exposure to ML pipelines and support for data science workflows
Soft Skills:
- Excellent communication and interpersonal skills
- Strong analytical and problem-solving mindset
- Ability to work independently in a remote environment
- Agile methodology exposure
Interested candidates can apply by sending their resume to:
Job Type: Full-time
Pay: ₹600, ₹800,000.00 per year
Work Location: Remote
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