qode.world

Senior DevOps, Data

qode.world

full-time

Posted on:

Location Type: Hybrid

Location: Ho Chi Minh City • 🇻🇳 Vietnam

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Job Level

Senior

Tech Stack

AirflowAnsibleAWSChefDynamoDBEC2JenkinsPuppetPythonSparkTerraform

About the role

  • 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

  • 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
Benefits
  • Meal and parking allowances
  • Full benefits and salary during probation.
  • Insurances as per 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.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
AWS CloudFormationTerraformPythonBashSparkDatabricksAirflowAWS IAMAWS VPCAWS EC2
Soft skills
communicationlogical thinkingproblem-solvingcuriosityself-learning
Certifications
AWS Data Engineer AssociateAWS DevOps Professional