Remote Data Engineer

Description:

• The Data Engineer will work collaboratively with application development, data protection, information security, and risk management teams to understand and implement data security and management solutions.
• The role involves continuously improving security and observability telemetry services based on input from a diverse network of internal and external stakeholders, as well as technology teams and the IT industry at large.
• Responsibilities include defining and managing data models, schemas, metadata, and security rules, as well as designing, creating, deploying, and managing databases and data structures both on-premise and in the cloud to fulfill business requirements.
• The Data Engineer will identify and mitigate potential security risks in the organization's data architecture through threat analysis.
• Ensuring compliance with data privacy laws and regulations is a key responsibility of this position.
• The role requires conducting risk assessments and taking appropriate actions to mitigate risks associated with data security.
• The Data Engineer will also train and educate stakeholders about data management practices.
• Collaboration with other IT team members, stakeholders, and executives is essential to ensure the security of data architectures.

Requirements:

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

Benefits:

• The position offers competitive compensation and benefits packages.
• Opportunities for professional development and training are provided to enhance skills and knowledge.
• The role includes the chance to work in a collaborative and innovative environment with a diverse team.
• Employees may benefit from flexible working arrangements to promote work-life balance.
• The company supports continuous learning and offers access to the latest tools and technologies in the field.