
Chief Data Infrastructure Specialist
2 weeks ago
Data Engineering Lead
We seek an experienced Data Engineering Lead to spearhead the development and implementation of our data infrastructure. The ideal candidate will possess expertise in backend development with programming languages such as Java, PHP, Python, Node.JS, GoLang, JavaScript, HTML, and CSS, as well as proficiency in SQL, Python, and Scala for data processing and analytics.
Key Responsibilities:
- Design and optimize scalable data infrastructure, ensuring high availability and reliability.
- Develop and implement data governance frameworks and best practices.
- Collaborate with cross-functional teams to define and execute a data roadmap.
- Optimize data processing workflows for performance and cost efficiency.
- Ensure data security, compliance, and quality across all data platforms.
Ideal Candidate Profile:
- 10+ years of experience in software/data engineering, with at least 3+ years in a leadership role.
- Strong understanding of cloud platforms (AWS, GCP, or Azure) and their data services.
- Familiarity with automation and DevOps tools like Jenkins, Ansible, Docker, Kubernetes, Chef, Grafana, and ELK.
- Proven ability to drive technical strategy and align it with business objectives.
Preferred Qualifications:
- Experience in machine learning infrastructure or MLOps is a plus.
- Exposure to real-time data processing and analytics.
- Interest in data structures, algorithm analysis and design, multicore programming, and scalable architecture.
About Us
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