
Chief Data Architecture Specialist
19 hours ago
Role: Data Engineer
Key Responsibilities:
- Develop and maintain data architecture principles, guidelines and standards.
- Design and implement data warehousing, big data, data analytics, and cloud-based solutions using Python and Java.
- Provide technical guidance to clients on best practices and technologies.
- Lead cross-functional teams and coach junior data engineers.
- Collaborate with stakeholders to ensure successful project outcomes.
Requirements:
- Strong knowledge of data engineering concepts, technologies, and industry trends.
- Experience in designing and implementing cloud-based solutions, including data pipelines and ETL/ELT systems.
- Proficiency in programming languages such as Python and Java, as well as proficiency in data visualization tools.
- Excellent communication, presentation, problem-solving skills, and ability to work in a fast-paced environment.
- Good to have: experience with MPP systems, database systems, and data flow compute.
Desirable Qualifications: Google Professional Cloud Architect certification.
Why This Role?This role offers the opportunity to work on complex data engineering projects, collaborate with cross-functional teams, and contribute to the development of cutting-edge data solutions. If you are a motivated and experienced data engineer looking for a new challenge, we encourage you to apply for this exciting opportunity.
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