Skywaves Rise
GCP Data Engineer
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The Role
We are seeking an experienced GCP Data Engineer to design, build, and optimize scalable cloud-native data platforms on Google Cloud Platform (GCP). The ideal candidate will have strong expertise in developing batch and real-time data pipelines, implementing data lake and data warehouse solutions, and enabling data-driven analytics and AI/ML initiatives. The role involves close collaboration with architects, data scientists, business analysts, and application teams to deliver high-quality, secure, and reliable data solutions.
Your Responsibilities
- Build batch and streaming data ingestion frameworks using Dataflow, Dataproc, Pub/Sub, and Cloud Functions.
- Develop reusable and optimized data processing solutions using PySpark and Python.
- Implement orchestration workflows using Cloud Composer (Apache Airflow).
- Ensure data quality, integrity, lineage, and governance across data platforms.
- Implement partitioning, clustering, and performance tuning strategies in BigQuery.
- Manage structured, semi-structured, and unstructured data processing requirements.
- Implement IAM policies, data security controls, and compliance requirements.
- Participate in technical design discussions, code reviews, and solution governance meetings.
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Essential skills/knowledge/experience
- Google Cloud Platform (GCP)
- BigQuery
- Dataproc
- Cloud Composer (Airflow)
- Pub/Sub
- Dataflow
- Cloud Storage
- Python
- PySpark
- SQL
- Terraform
- Git, CI/CD
Desirable skills/knowledge/experience
- Strong analytical and problem-solving skills.
- Excellent communication and stakeholder management capabilities.
- Ability to work in global and multi-vendor environments.
- Experience delivering solutions for data modernization and cloud migration initiatives.
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