
Chief Data Engineering Officer
1 week ago
Job Overview:
This role involves leading the development and maintenance of advanced data pipelines and architectures to inform strategic decision-making. You will partner with cross-functional teams to design and implement scalable data solutions.
Main Responsibilities:
- Partner with stakeholders to gather requirements and convert them into actionable data solutions.
- Design, build, and maintain robust data pipelines and architectures on cloud environments.
- Implement and automate data ingestion and transformation workflows using ELT best practices.
- Create intuitive dashboards and reports to enable data-driven decision-making.
- Develop and enforce scalable data models for analytics use cases.
- Mentor and lead a team of data engineers, guiding them in their professional development.
- Stay up to date with emerging trends in data engineering and introduce innovative solutions where applicable.
Required Qualifications:
- Bachelor's or master's degree in computer science, engineering, information technology, or a related field.
- Minimum 7 years of experience in data engineering, with hands-on leadership in building and managing large-scale data platforms.
- Proven skills in designing complex queries and procedures.
- Experience in predictive analytics, including working with modeling data and integrating models into data pipelines.
- Good working knowledge of Python for data transformation and ML support.
- Deep understanding of data modeling techniques and data warehouse design principles.
- Experience with Git and CI/CD pipelines for code and data solution deployment.
Benefits:
- Opportunity to work with a cutting-edge technology stack.
- Collaborative and dynamic work environment.
- Ongoing training and professional development opportunities.
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