An accomplished is desired to become a member of our dynamic team. The optimal candidate should have substantial knowledge and experience managing workloads on EC2 clusters using DataBricks (EMR or an equivalent level of experience will suffice), ensuring connectivity and data availability via Data Mesh, implementing least privileged access across AWS accounts and Databricks data platform, and operating distributed engines such as Spark. Furthermore, storage technologies, data orchestration, and CI/CD pipeline, and operational experience with Spark and other data warehousing tools are prerequisites for success in this position.
Your responsibilities
- Manage, capacity plan, and operate workloads utilizing EC2 clusters via DataBricks/EMR to ensure efficient and reliable data processing
- Collaborate with stakeholders to design and implement a Data Mesh architecture across multiple closely related but separate enterprise entities
- Utilize Infrastructure as Code (IaC) tools such as CloudFormation or Terraform to define and manage data platform user access to data and compute resources.
- Implement role-based access control (RBAC) mechanisms using IaC templates to enforce least privilege principles and ensure secure access to data and compute resources
- Collaborate with cross-functional teams to design, implement, and optimize data pipelines and workflows
- Utilize distributed engines such as Spark to process and analyze large volumes of data efficiently when required
- Develop and maintain operational best practices for Spark and other data warehousing tools to ensure system stability and performance
- Implement and manage storage technologies to efficiently store and retrieve data as per business requirements
- Troubleshoot and resolve platform-related issues in a timely manner to minimize downtime and disruptions
- Stay updated on emerging technologies and industry trends to continuously enhance the data platform infrastructure
- Document processes, configurations, and changes to ensure comprehensive system documentation.
Requirements
Required skills:
- Knowledge of one or more of the following: AWS CloudFormation and Terraform for infrastructure provisioning
- Knowledge of the source control and its related concepts (Gitlab/Git flow, Trunk-based, branches, etc.).
- Familiarity with at least one programming language (Python, Bash, etc.).
- Familiarity with a distributed compute engine such as Spark
- Familiarity with a data platform or data orchestration tool such as Databricks/Airflow
- Equipped with in-depth working knowledge and experience in using AWS IAM, VPC, EC2, RDS, DynamoDB, DMS, and S3
- Experience with CI/CD tools (such as Jenkins, TeamCity, AWS CodePipeline, CodeDeploy) or configuration management tools (such as Ansible, Chef, Puppet..)
- DevOps mindset with automation and operational excellence in mind
- Good skills in English and the ability to communicate effectively with business and technical teams
- Demonstrate good logical thinking and problem-solving skills
- Be curious and have a self-learning attitude
Big Plus:
- AWS Data Engineer Associate or DevOps Professional Certifications
You are:
- Passionate about technology
- Independent but also a team player
- Comfortable with a high degree of ambiguity
- Focused on usability and speed
- Keen on presenting your ideas to your peers and management.
Benefits
At TYME, opportunities are here for the taking. If you want to be part of our purpose and live and lead through our values, we can offer exciting development opportunities through expanded lateral roles, stretch assignments, or people leadership.
Some of our benefits:
- Meal and parking allowances are covered by the company.
- Full benefits and salary rank during probation.
- Insurances such as Vietnamese labor law and premium health care for you and your family.
- SMART goals and clear career opportunities (technical seminar, conference, and career talk) - we focus on your development.
- Values-driven, international working environment, and agile culture.
- Overseas travel opportunities for training and work-related.
- Internal Hackathons and company events (team building, coffee run, etc.).
- Pro-Rate and performance bonus.
- 15-day annual + 3-day sick leave per year from the company.
- Work-life balance 40-hr per week from Mon to Fri.
