Freelance Opportunity: Data Engineer – Teradata to GCP Migration

Company Description

ThreatXIntel is a startup cyber security company dedicated to providing customizable and affordable cyber security solutions for businesses and organizations. Our proactive approach involves continuous monitoring and testing to identify vulnerabilities before they can be exploited. We offer services such as cloud security, web and mobile security testing, and DevSecOps to help clients protect their digital assets.

Role Description

Data Engineers (freelance/contract)

The role is hands-on and requires strong expertise in both Teradata and GCP services to ensure seamless migration, optimized performance, and minimal disruption to business operations.

Key Responsibilities

• Lead the

  migration of data and ETL workflows

  from Teradata to GCP services such as

  BigQuery, Dataflow, Cloud Storage, Dataproc, and Composer (Airflow)

  .
• Analyze and map

  Teradata workloads

  to appropriate GCP equivalents.
• Refactor and rewrite

  SQL, scripts, and procedures

  in GCP-compliant formats (BigQuery Standard SQL).
• Collaborate with

  data architects and business stakeholders

  to define migration strategies, validate data quality, and ensure compliance.
• Develop

  automated data pipelines

  using GCP-native tools and/or custom scripts (Python/Java).
• Optimize

  data storage, query performance, and costs

  within GCP.
• Implement

  monitoring, logging, and alerting

  for migrated pipelines and production workloads.

Required Skills

• 5+ years of Data Engineering

  experience, including

  2+ years in GCP

  .
• Strong background in

  Teradata

  , including

  BTEQ

  and complex SQL.
• Hands-on expertise with

  GCP services

  : BigQuery, Dataflow, Cloud Storage, Pub/Sub, Composer, and Dataproc.
• Experience building and maintaining

  ETL/ELT pipelines

  with Python or Java.
• Proven ability to

  translate and optimize legacy Teradata logic

  into GCP.
• Familiarity with

  CI/CD pipelines, Git, Argo CD, and DevOps

  practices in cloud environments.
• Strong problem-solving skills, attention to detail, and ability to work independently.

Preferred Qualifications

• GCP Professional Data Engineer certification

  (preferred).
• Exposure to

  Apache Kafka, Cloud Functions, or AI/ML pipelines

  on GCP.
• Prior experience in the

  healthcare domain

  .
• Knowledge of

  data governance, security, and compliance

  in cloud ecosystems.