
Senior Cloud Data Engineer Lead
8 hours ago
We are seeking an experienced and results-driven leader to oversee the design, development, and deployment of scalable cloud-based data solutions. This role involves leading technical projects, mentoring team members, and delivering efficient systems using cloud and big data technologies.
Key Responsibilities:
- Design and Development
- Lead the design, development, and deployment of scalable and reliable data processing systems using Java and Apache Spark in a cloud environment.
- Architect and implement big data processing pipelines utilizing technologies such as Apache Spark and cloud-native services.
- Develop and manage serverless applications and integrate them with cloud services to build efficient and maintainable solutions.
- Use container orchestration tools (e.g., Amazon EKS or equivalent) to manage microservices-based applications.
- Design and implement workflow orchestration solutions (e.g., Apache Airflow) for managing complex data pipelines.
- Mentorship and Collaboration
- Collaborate with cross-functional teams (including product, data, and operations teams) to define technical requirements and ensure smooth integration across services.
- Mentor and guide development teams on Java best practices, cloud architecture, and data engineering principles.
Required Skills:
- Strong hands-on experience in Java development.
- Proficiency in Apache Spark for distributed data processing.
- Experience with cloud platforms and services (e.g., EMR, Lambda, EKS, Airflow, or their equivalents).
- Solid understanding of serverless architectures and microservices design.
- Demonstrated leadership and team mentoring experience.
- Excellent problem-solving, communication, and collaboration skills.
Why This Role?
This is an excellent opportunity to work with cutting-edge technologies, collaborate with a talented team, and drive technical excellence in our organization. If you are passionate about cloud computing, data engineering, and leadership, we encourage you to apply.
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