Overview
Remote
$80,000 - $90,000
Full Time
Skills
Data Engineering
GCP
BigQuery
Dataflow
Cloud Storage
Pub
Sub
Composer
Dataproc
Teradata
data warehousing
BTEQ
Basic Teradata Query
SQL
Python
Java
Job Details
Job Title: Google Cloud Platform Data Engineer
Location: 100% Remote
Duration: Fulltime Permanent Hire
Key Responsibilities:
- Lead and execute migration of data and ETL workflows from Teradata to Google Cloud Platform-based services such as BigQuery, Cloud Storage, Dataflow, Dataproc, and Composer (Airflow).
- Analyze and map existing Teradata workloads to appropriate Google Cloud Platform equivalents.
- Rewrite SQL logic, scripts, and procedures in Google Cloud Platform-compliant formats (e.g., standard SQL for BigQuery).
- Collaborate with data architects and business stakeholders to define migration strategies, validate data quality, and ensure compliance.
- Develop automated workflows for data movement and transformation using Google Cloud Platform native tools and/or custom scripts (Python).
- Optimize data storage, query performance, and costs in the cloud environment.
- Implement monitoring, logging, and alerting for all migration pipelines and production workloads.
Required Skills:
- 4 to 6+ years of experience in Data Engineering, with at least 2 years in Google Cloud Platform.
- Strong hands-on experience in Teradata data warehousing, BTEQ, and complex SQL.
- Solid knowledge of Google Cloud Platform services: BigQuery, Dataflow, Cloud Storage, Pub/Sub, Composer, and Dataproc.
- Experience with ETL/ELT pipelines using custom scripting tools (Python/Java).
- Proven ability to refactor and translate legacy logic from Teradata to Google Cloud Platform.
- Familiarity with CI/CD, GIT, Argo CD, and DevOps practices in cloud data environments.
- Strong analytical, troubleshooting, and communication skills. Preferred Qualifications:
- Google Cloud Platform certification (Preferred: Professional Data Engineer).
- Exposure to Apache Kafka, Cloud Functions, or AI/ML pipelines on Google Cloud Platform.
- Experience working in the healthcare domain. Knowledge of data governance, security, and compliance in cloud ecosystems. Behavioral Skills:
- Problem solving mindset
Attention to detail
- Accountability and ownership
- Curious and staying current with evolving Google Cloud Platform services
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.