Freelance Data Engineer (AWS CDK, Redshift, SQL, S3) Remote

Company Description

ThreatXIntel is a startup cyber security company dedicated to protecting businesses and organizations from cyber threats. Our team of experienced professionals offers a range of services, including cloud security, web and mobile security testing, cloud security assessment, and DevSecOps. We provide customized, affordable solutions to meet the specific needs of our clients, ensuring all businesses have access to high-quality cyber security services. Our proactive approach to security includes continuous monitoring and testing of digital environments to identify vulnerabilities before they can be exploited.

Role Description

hands-on Freelance Data Engineer

You will work closely with the engineering team to troubleshoot data jobs, refine CI/CD processes, and ensure smooth daily pipeline operations.

Key Responsibilities

• Debug and maintain existing data pipelines

  to ensure stable and efficient execution.
• Manage and optimize

  AWS CDK deployments

  , including building, packaging, and releasing infrastructure components.
• Support

  CI/CD processes

  and automate deployment workflows where applicable.
• Write, optimize, and troubleshoot

  SQL queries

  for performance and accuracy in

  Amazon Redshift

  .
• Manage data storage and movement between

  Redshift

  ,

  S3

  , and other AWS services.
• Identify recurring issues and implement

  long-term fixes

  to improve reliability.
• Collaborate with team members to streamline operations, monitor job health, and resolve production issues promptly.

Required Qualifications

• Strong experience in AWS

  , especially

  CDK

  ,

  Lambda

  ,

  S3

  , and

  Redshift

  .
• Proven ability to

  debug and optimize data pipelines

  in production environments.
• Solid proficiency in

  SQL

  , including query optimization and performance tuning.
• Hands-on experience with

  data integrations

  between Redshift and S3.
• Familiarity with

  Python or Node.js

  for automation and infrastructure scripting.
• Understanding of

  deployment packaging, versioning, and release management

  using AWS CDK.
• Detail-oriented with excellent troubleshooting and problem-solving skills.

Preferred Qualifications

• Experience with

  CloudWatch

  ,

  Step Functions

  , or

  Glue

  for job orchestration and monitoring.
• Exposure to

  data modeling

  and

  ETL optimization

  best practices.
• Strong communication and collaboration skills in distributed teams.

Why This Role

• Focus on

  stabilizing and improving existing systems

  , not greenfield builds.
• Opportunity to work with

  modern AWS infrastructure tools (CDK, Redshift, S3)

  .
• Flexible freelance engagement with potential for long-term collaboration.
• Direct impact on

  system reliability and deployment efficiency

  .