
Transformative Enterprise Data Leader
2 days ago
About this role
We are seeking a highly skilled Data Engineer to lead the design and implementation of enterprise data platforms. Your expertise will drive innovation, adoption of new technologies, mentor junior and mid-level data engineers, and collaborate with stakeholders across teams.
- Lead the design and implementation of enterprise data platforms: Architect and oversee the deployment of scalable, reliable, and secure data infrastructure for large organizations.
- Drive innovation and adoption of new technologies: Research and integrate cutting-edge tools and frameworks for data ingestion, processing, and governance.
- Mentor and guide junior and mid-level data engineers: Provide technical leadership, code reviews, and career development support.
- Collaborate with stakeholders across teams: Align data engineering initiatives with business objectives and ensure cross-functional alignment.
- Establish and enforce data engineering best practices: Define standards for pipeline architecture, data quality, security, and compliance across the organization.
Requirements:
- 8 – 12 years of experience
- Expert-level proficiency in programming, automation, and orchestration: Mastery of Python, and workflow orchestration tools.
- Deep understanding of data storage, processing, and governance: Advanced knowledge of data warehousing, Lakehouse architectures, and real-time streaming.
- Proven ability to build and deploy scalable data systems: Design and implement robust, production-grade data platforms on GCP.
Key Skills:
- 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, should be able to design scalable data models)
- 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 - should be able to write.
What we offer
This is an exciting opportunity to work with a talented team and make a meaningful impact on our organization's success.
Why choose us?
We offer a dynamic and supportive work environment, competitive compensation and benefits, and opportunities for professional growth and development.
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