Data Engineering Team Lead
4 weeks ago
Data Engineering Team Lead
Data Engineering at Mimecast
As a Data Engineering Team Lead, you will play a pivotal role in designing, developing, and maintaining scalable systems for our Data Platform team. Your responsibilities will include:
- Leading multiple teams in designing and driving the implementation of scalable microservices on AWS.
- Mentoring and guiding engineers, fostering a culture of collaboration, continuous learning, and professional growth.
- Creating and maintaining comprehensive technical documentation for architectures, processes, and procedures.
- Providing support during critical incidents and implementing preventive measures.
- Monitoring and analyzing AWS usage, providing recommendations for cost savings without compromising system performance and reliability.
- Crafting resilient, secure, and efficient code, ensuring optimal performance and minimal downtime.
Requirements:
You will be responsible for:
- Demonstrating ability to work effectively in a collaborative team environment, mentoring junior team members and contributing to a positive team culture.
- Demonstrating expertise in Java development, with extensive knowledge of Java 11 and above.
- Proven experience in designing, developing, and optimizing backend systems for data processing at scale within AWS.
- Comprehensive knowledge and hands-on experience with foundational AWS services, such as; ALB, ECS, S3, ElastiCache, IAM, CloudWatch.
- Demonstrated expertise in implementing and maintaining Kafka-based event-driven services.
- Proven experience with both relational and NoSQL databases, and an understanding of database design, optimization, and management.
- Strong skills in Infrastructure as Code (IaC) tools, such as Terraform or AWS CloudFormation.
- Hands-on experience with Jenkins and establishing robust CI/CD pipelines.
What We Offer:
Mimecast offers a comprehensive benefits package, including formal and on-the-job learning opportunities, and a hybrid working model that champions collaborative teamwork and individual flexibility. Join our Data Platform team to accelerate your career journey, working with cutting-edge technologies and contributing to projects that have real customer impact.
We believe in 'growth that's good, we have 'a culture that cares' and we are on a 'mission that matters'.
Our Hybrid Model:
We provide the flexibility to live balanced, healthy lives through our hybrid working model that champions both collaborative teamwork and individual flexibility. Employees are expected to come to the office at least two days per week, because working together in person:
- Fosters a culture of collaboration, communication, performance, and learning.
- Drives innovation and creativity within and between teams.
- Introduces employees to priorities outside of their immediate realm.
- Ensures important interpersonal relationships and connections with one another and our community
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