We are looking for an experienced GCP Analytics Engineer to design and develop scalable analytical data solutions on Google Cloud. The candidate will work on data transformation, modelling, pipelines and analytics-ready datasets to support reporting and business intelligence requirements.
Roles & Responsibilities
- Design and develop scalable analytics solutions on GCP.
- Build and optimize analytical datasets and data models using BigQuery and SQL.
- Develop ETL/ELT data pipelines for structured and large-scale datasets.
- Work with GCP data services such as BigQuery, Cloud Storage, Dataflow and Dataproc. These services are commonly used across GCP analytics/data-engineering workloads. [eonsr.com]
- Perform data transformation, integration, validation and data-quality checks.
- Optimize BigQuery queries and analytical workloads.
- Develop reusable datasets and data models for downstream reporting and BI.
- Collaborate with Data Engineers, BI developers, analysts and business teams.
- Support deployment, monitoring and troubleshooting of production data pipelines.
- Follow data security, governance and cloud engineering best practices.
Mandatory Skills
- Google Cloud Platform (GCP)
- BigQuery
- Advanced SQL
- Data Modeling
- ETL / ELT
- Data transformation
- Data Warehousing
- Cloud Storage
- Data pipeline development