
Chief Data Infrastructure Specialist
3 days ago
Data Architects with exceptional skills are required to build, implement, and maintain high-performing data systems that drive business success. As a Lead Data Engineer at our organization, you will be responsible for designing scalable data architectures, ensuring the reliability and quality of data systems, mentoring junior engineers, and collaborating with cross-functional teams.
Responsibilities
- Develop efficient data integration, processing, and analytics pipelines from ingestion to consumption.
- Design and implement highly scalable data architectures that meet business needs.
- Mentor and guide junior/mid-level data engineers to improve their skills.
- Collaborate with Product, Engineering, Data Scientists, and Analysts to understand data requirements and develop data solutions.
- Evaluate and implement new technologies and tools to improve data integration, data processing, and analysis.
- Take ownership of storage layer, data management tasks, including schema design, indexing, and performance tuning.
- Safely address and resolve complex data engineering issues and incidents.
Qualifications
- Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
- 5+ years of real-world data engineering development experience in cloud environments (AWS and GCP).
- Strong expertise in Python, SQL, PySpark, and cloud-based platforms in an Agile environment.
- Senior person who can understand requirements and design end-to-end solutions with minimal oversight.
About Us
We are a leading provider of AI strategy, talent, and education services. Our mission is to democratize AI by providing cutting-edge solutions to businesses worldwide.
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