Note: The job is a remote job and is open to candidates in USA. Anagh Technologies Inc is a technical consulting firm specializing in UI, Front-End, and Full-Stack web technologies. They are seeking a GCP Data Engineer who will be responsible for developing data pipelines and working with Google Cloud Platform data services.
Responsibilities
- Strong hands-on experience with Python for data engineering and pipeline development
- Extensive experience with Databricks and PySpark
- Experience designing and implementing data pipelines using Medallion Architecture
- Strong understanding of Bronze, Silver, and Gold data layers and modern lakehouse architecture
- Experience working with Google Cloud Platform (GCP) data services
- Hands-on experience with Google BigQuery, including data loading, transformation, query optimization, and performance tuning
- Strong understanding of data engineering concepts, including ETL/ELT, data modeling, data quality, and pipeline orchestration
- Experience working with cloud-based data platforms and distributed data processing frameworks
Skills
- Strong hands-on experience with Python for data engineering and pipeline development
- Extensive experience with Databricks and PySpark
- Experience designing and implementing data pipelines using Medallion Architecture
- Strong understanding of Bronze, Silver, and Gold data layers and modern lakehouse architecture
- Experience working with Google Cloud Platform (GCP) data services
- Hands-on experience with Google BigQuery, including data loading, transformation, query optimization, and performance tuning
- Strong understanding of data engineering concepts, including ETL/ELT, data modeling, data quality, and pipeline orchestration
- Experience working with cloud-based data platforms and distributed data processing frameworks
- Knowledge of FinOps principles, cloud cost optimization, and data platform cost management
- Experience optimizing Databricks and BigQuery workloads for performance and cost efficiency
- Experience with CI/CD, Git, automated testing, and deployment of data pipelines
- Experience with additional GCP services such as Cloud Storage, Dataflow, Pub/Sub, Composer, or Cloud Functions
Benefits
- These are hybrid roles
- Only looking for candidates who can work on W2
Company Overview