
Chief Data Infrastructure Specialist
5 days ago
Job Opportunity:
We are seeking a highly skilled Data Engineer to join our team. As a key member of the analytics infrastructure, you will collaborate with cross-functional teams to design, build, and deploy large-scale data processing systems.
Main Responsibilities:
- Design and develop real-time stream and batch data processing systems.
- Develop and run services and analytics SaaS solutions.
- Write unit and end-to-end tests for any code developed.
- Owning scalability, high availability, and data security for services.
- Mentor other developers in best practices.
Requirements:
- 5+ years of working experience.
- Proven record of building ETL and analytics applications.
- Excellent programming skills in Python, Java, or similar.
- Experience with SQL and NoSQL databases, as well as REST APIs.
- Experience in modeling data warehouses in BigQuery/RedShift.
- Experience working with DBT or Dataform for building pipelines.
- Experience building and embedding dashboards.
- Understanding of distributed systems and streaming concepts and principles.
- Capacity to pivot to new languages and frameworks.
- Strong communication, teamwork, and problem-solving skills.
- Eagerness to learn new things and cutting-edge technology.
Favorable Skills:
- Experience with modern big data stacks (e.g. Kinesis, Flink, BigQuery, etc.).
- Familiarity with serverless architecture and systems (AWS Lambda, GCP Cloud Functions).
What We Offer:
A dynamic work environment with opportunities for growth and development.
How to Apply:
Submit your application with relevant experience and qualifications.
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