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Cloud Data Engineering Lead
3 weeks ago
Job Summary:
We are seeking an experienced data engineering leader to spearhead the development of our cloud-based data infrastructure.
Responsibilities:
- Oversee a team of senior engineers and drive the implementation of scalable data management systems.
- Collaborate with clients to define project requirements and develop effective solutions.
- Design, build, and maintain large-scale data warehouses using industry-leading technologies.
- Develop and execute comprehensive roadmaps to ensure seamless project delivery.
- Build high-quality features and deliver projects to the highest standards.
Requirements:
- 10+ years of experience in software development, data structures/algorithms, and backend engineering.
- 4+ years of experience leading teams and driving project success.
- 8+ years of hands-on experience in Python, JVM, and Shell Scripting, with production-level expertise.
- 5+ years of proven experience building cloud-native applications on Amazon Web Services (AWS).
- Familiarity with containerization and orchestration tools like Docker and Kubernetes.
- Experience in building and maintaining Spark applications.
- Proficiency in Infrastructure as Code (IaC) tools such as Terraform, CDK, or CloudFormation.
- Hands-on experience with observability systems like Datadog and Prometheus/Grafana.
- Strong experience in building Continuous Integration/Continuous Deployment (CI/CD) processes, including GitHub Actions and ArgoCD.
- Experience with unit testing and test automation frameworks.
Soft Skills:
- Effective communication and collaboration skills.
- Ability to build strong relationships with stakeholders and team members.
- Comfortable providing and receiving constructive feedback.
- Focus on delivering business value while prioritizing engineering excellence.
- Proactive approach to addressing customer needs and expectations.
Benefits:
- Opportunity to work on cutting-edge projects and contribute to the growth of our data engineering team.
- Competitive salary and benefits package.
- Chance to collaborate with experienced professionals and learn from their expertise.