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Data Engineer

Remote: 
Full Remote
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

6+ years of experience in Data Ingestion, ETL or security engineering on a large scale globally distributed environment, Experience with AWS, Azure, and GCP platforms, Agile methods, Atlassian stack, SIEM solution, scripting languages, and DevSecOps.

Key responsabilities:

  • Implement data security solutions, manage data models and schemas, mitigate security risks, ensure compliance with regulations
  • Design and manage databases, educate stakeholders, collaborate with IT teams and executives
Unison Consulting Pte Ltd logo
Unison Consulting Pte Ltd SME https://www.unisonconsulting.com.sg/
201 - 500 Employees
See more Unison Consulting Pte Ltd offers

Job description

  • Work collaboratively with application development, data protection, information security, and risk management teams to understand and implement data security and management solutions.
  • Continuously improve security & observability telemetry services based on input from a diverse network of internal and external stakeholders, and technology teams as well as the IT industry at large.
  • Data Management: Define and manage data models, schemas, metadata, and security rules. Design, create, deploy, and manage databases and data structures on premise and in the cloud to fulfill business requirements.
  • Threat Analysis: Identify and mitigate potential security risks in the organization's data architecture.
  • Compliance: Ensure compliance with data privacy laws and regulations.
  • Risk Management: Conduct risk assessments and take appropriate actions to mitigate the risks associated with data security.
  • Training and Development: Train and educate stakeholders about our data
  • Collaboration: Collaborate with other IT team members, stakeholders, and executives to ensure the security of data architectures.

Requirements

  • Minimum 6+ years of Data Ingestion, Integration, ETL, or security engineering experience with large scale implementations distributed globally
  • Extensive knowledge of a globally distributed environment across multiple platforms such as AWS, Azure and GCP
  • Data-driven mindset
  • Strong understanding of Data Management or Data Engineering
  • Strong grounding in data analysis and related processes
  • Experienced in Agile methods, experience in Atlassian stack (i.e., JIRA) or related tools
  • Ability to Develop roadmaps and the underlying strategies for the data centric products and services
  • Experience with standard monitoring frameworks and observability products
  • Experience with hybrid environment data sources, data collectors and instrumentation
  • Expertise in the use SIEM solutions for basic and advanced detection methods, including cloud-based data sources
  • Experience with security monitoring & observability solutions such as Splunk, Sumo, Datadog, New Relic, AppDynamics
  • Experience of working with cloud and data security in a DevSecOps/IRE and agile working environments.
  • Expertise in at least one scripting language (PowerShell, Python, Bash)
  • Experience in container/container orchestration technologies - Docker and Kubernetes
  • Experience w/systems configuration orchestration tools - Ansible or Terraform
  • Understanding of infrastructure as a code and concepts
  • Related security certifications (e.g. CISSP, CCSP, SABSA, ITIL etc.).
  • Familiarity and experience with the Splunk SPL query language.
  • 3+ years familiarity and experience with Linux / Ubuntu / Mac systems
  • Experience in creating dashboards, queries, alerts in Splunk, Data Dog, Sumo
  • Experience in troubleshooting issues with Splunk connectivity including, networking, server (windows and Linux), and application tiers.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Collaboration
  • Training And Development

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