
Unlock the Power of Data as a Senior Data Engineer
10 hours ago
About the Opportunity:
We are seeking a seasoned data engineer to lead the design and implementation of enterprise data platforms.
The Ideal Candidate:
- Should have expert-level proficiency in programming, automation, and orchestration, with mastery of Python and workflow orchestration tools.
- Must have deep understanding of data storage, processing, and governance, including advanced knowledge of data warehousing, Lakehouse architectures, and real-time streaming.
- Proven ability to build and deploy scalable data systems, designing and implementing robust, production-grade data platforms on GCP.
- Experience with big data technologies, including use of Dataflow, Dataproc, Pub/sub, or similar for large-scale data processing.
- Strong security and compliance expertise, implementing and enforcing security controls, encryption, audit logging for data systems, and compliance standards or data systems.
- Excellent communication and presentation skills, articulating technical concepts and business value to diverse audiences.
Key Requirements:
- Python, orchestration tools (e.g. Airflow, Cloud Composer)
- Data architecture: data lakes, warehouses, streaming (e.g. Pub/Sub, Dataflow, Dataproc)
- Experience with GCP and production-grade data platform deployment
- Data security, compliance, and governance standards
- Data modeling skills - Experience with different data modeling techniques (dimensional modeling, relational modeling)
- SQL Skills level - Expert
- Deep understanding of bigquery, have experience on partitioning, clustering and performance optimizations
- Experience on Cloud function, Composer and Cloud run, dataflow flex templates
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