
Highly Skilled Data Engineer
22 hours ago
About the Role
As a Senior Data Engineer, you will play a key role in designing and implementing enterprise data platforms that drive business value.
Key Responsibilities:
- Data Platform Architecture: Architect and oversee the deployment of scalable, reliable, and secure data infrastructure for large organizations.
- Innovation and Adoption: Drive the adoption of new technologies and tools for data ingestion, processing, and governance.
- Leadership and Mentorship: Mentor junior and mid-level data engineers, providing technical leadership, code reviews, and career development support.
- Cross-Functional Collaboration: Collaborate with stakeholders across teams to align data engineering initiatives with business objectives.
- Technical Excellence: Establish and enforce data engineering best practices, defining standards for pipeline architecture, data quality, security, and compliance.
- Communication: Present findings and recommendations to senior leadership, communicating technical concepts and business impacts.
Required Skills and Qualifications:
- Technical Expertise: Expert-level proficiency in programming, automation, and orchestration, including Python and workflow orchestration tools.
- Data Storage and Processing: Deep understanding of data storage, processing, and governance, including data warehousing, Lakehouse architectures, and real-time streaming.
- Scalability and Security: Proven ability to build and deploy scalable data systems, ensuring robust, production-grade data platforms on GCP.
- Big Data Technologies: Experience with big data technologies, including Dataflow, Dataproc, Pub/sub, or similar for large-scale data processing.
- Security and Compliance: Strong security and compliance expertise, implementing and enforcing security controls, encryption, audit logging for data systems, and compliance standards.
- Communication and Presentation: Excellent communication and presentation skills, articulating technical concepts and business value to diverse audiences.
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