GCP Data Engineering
2 weeks ago
Key Skills: Google Cloud Platform, Data Engineer, Data Engineering
Roles and Responsibilities:
- Design and implement scalable data pipelines and ETL/ELT workflows using GCP-native tools.
- Develop and optimize relational and non-relational databases for performance and reliability.
- Build and manage data lakes and warehouses using BigQuery, Cloud Storage, and Dataproc.
- Collaborate with data scientists, analysts, and business stakeholders to deliver high-quality data solutions.
- Ensure data governance, security, and compliance with industry standards.
- Lead architectural discussions and mentor junior engineers.
- Hands-on experience with GCP services: BigQuery, Dataflow, Dataproc, Cloud Storage, Cloud Composer, Pub/Sub.
- Proficiency in Python, PySpark for data processing.
- Experience of large size database migration to GCP using DMS, ETL tools, etc.
- Experience with big data tools (Apache Spark, Kafka, Beam).
- Familiarity with CI/CD pipelines and infrastructure-as-code (Terraform, Deployment Manager).
- Excellent problem-solving and communication skills.
Skills Required:
- Expertise in GCP data tools: BigQuery, Dataflow, Dataproc, Cloud Storage
- Proficiency in Python and PySpark for scalable data processing
- Solid SQL and database design skills (BigQuery, PostgreSQL, MySQL)
- Experience with ETL/ELT workflows and large-scale data migrations
- Strong understanding of CI/CD and Infrastructure-as-Code (Terraform, Deployment Manager)
- Familiarity with big data technologies like Apache Spark, Kafka, Beam
- Excellent stakeholder collaboration and problem-solving skills
Education: Bachelor's Degree in related field
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