Match score not available

Data Engineer at Unison Consulting Pte Ltd

Remote:

Full Remote

Experience:

Mid-level (2-5 years)

Work from:

Pakistan, India

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 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.