Google Cloud Platform Data Engineer
1 week ago
Job Description
Job Title: GCP Data Engineer
Location: Offshore India (Preferred: Pune / Indore)
Experience: 5+ Years
Role Overview
We are looking for an experienced GCP Data Engineer to join our team and support a US-based client. The ideal candidate will be responsible for designing, building, and maintaining large-scale data pipelines and architectures on Google Cloud Platform (GCP). This role demands deep technical expertise, strong problem-solving skills, and the ability to translate complex business requirements into scalable, efficient, and secure data solutions.
Key Responsibilities
- Design, develop, test, and maintain robust data pipelines for structured and unstructured data (batch and real-time) on GCP.
- Build scalable datasets aligned with business requirements and analytics needs.
- Architect and implement end-to-end big data solutions.
- Collaborate with stakeholders to gather requirements and translate them into technical specifications.
- Work extensively with GCP services: Python, SQL, DataFlow, DataStream, CDC (Change Data Capture), Cloud Functions, Cloud Run, Pub/Sub, BigQuery, and Cloud Storage.
- Use SAP SLT to replicate SAP tables into GCP environments.
- Develop and manage JSON-based messaging structures for application integrations.
- Implement DevOps & CI/CD practices (GitHub, Terraform) for automation, scalability, and reliability.
- Ensure data security and compliance by managing IAM roles, Policy Tags, and authorized views in BigQuery.
- Design and maintain ingestion pipelines using REST APIs.
- Monitor and optimize pipelines with effective logging, alerting, and troubleshooting.
- Continuously recommend and implement improvements to enhance data quality, reliability, and performance.
Required Skills & Experience
- Minimum 5+ years of experience as a Data Engineer, with strong focus on Google Cloud Platform.
- At least 1 year hands-on experience with core GCP tools (Python, SQL, DataFlow, DataStream, Cloud Functions, Cloud Run, Pub/Sub, BigQuery, Cloud Storage).
- Strong expertise in data ingestion, CDC techniques, real-time/batch processing, and orchestration.
- Experience with SAP SLT for replicating SAP data into GCP (preferred).
- Solid knowledge of BigQuery features: data partitioning, clustering, governance, and optimization.
- Working knowledge of CI/CD and Infrastructure as Code (GitHub, Terraform).
- Strong analytical, troubleshooting, and communication skills.Role & responsibilities
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