About the role
structured by ORISenior Data Engineer Experience: 6+ Years Role Summary We are looking for a highly motivated Data Engineer to design, develop, and support scalable data ingestion and transformation pipelines on Google Cloud Platform (GCP). The ideal candidate will have strong experience in building modern Lakehouse solutions using…
What you will do
- Design, develop, and support scalable data ingestion and transformation pipelines on Google Cloud Platform (GCP).
- Build modern Lakehouse solutions using Dataflow, Dataform, BigQuery, and Pub/Sub.
- Support analytics, reporting, and AI-driven data products.
- Work closely with Data Architects, Data Governance, Analytics Engineers, BI Developers, and Business Teams.
What they are looking for
- BigQuery (advanced optimization and tuning)
- Dataflow (batch & streaming pipelines)
- Dataform (SQL-based transformations)
- Pub/Sub (event-driven architectures)
- Cloud Storage (GCS)
- Dataplex / Data Catalog
- Analytics Hub (data sharing)
- Cloud Monitoring & Logging
- IAM & Security controls
- Batch and streaming data processing
- ETL / ELT pipeline design and implementation
- Data ingestion frameworks (config-driven approach preferred)
Nice to have
- Google Professional Data Engineer
- Google Associate Data Practitioner
Full posting text
Senior Data Engineer
Experience: 6+ Years
Role Summary
We are looking for a highly motivated Data Engineer to design, develop, and support scalable data ingestion and transformation pipelines on Google Cloud Platform (GCP). The ideal candidate will have strong experience in building modern Lakehouse solutions using Dataflow, Dataform, BigQuery, and Pub/Sub while supporting analytics, reporting, and AI-driven data products.
The role will work closely with Data Architects, Data Governance, Analytics Engineers, BI Developers, and Business Teams to deliver reliable, secure, and high-performance data solutions.
Required Technical Skills
Google Cloud Platform (GCP)
Strong Hands-on Experience In
- BigQuery (advanced optimization and tuning)
- Dataflow (batch & streaming pipelines)
- Dataform (SQL-based transformations)
- Pub/Sub (event-driven architectures)
- Cloud Storage (GCS)
- Dataplex / Data Catalog
- Analytics Hub (data sharing)
- Cloud Monitoring & Logging
- IAM & Security controls
Data Engineering
- Batch and streaming data processing
- ETL / ELT pipeline design and implementation
- Data ingestion frameworks (config-driven approach preferred)
- CDC and incremental processing
- Data lakehouse architecture concepts
- Data modeling and warehousing principles
Programming
- Python
- Advanced SQL
- Java or Scala (preferred)
- Scripting and automation
Preferred Certifications
Google Cloud
- Google Professional Data Engineer
- Google Associate Data Practitioner