GCP Data Engineer
3B Staffing LLC
Role - GCP Data Engineers
Location - At least 2x/week on-site in Hartford, CT-151 Farmington Avenue, Hartford, CT 06156- Locals Only Interview Process: One + done - 1 hour, 100% technical interview, will be asked to share screen and code!
NEED ONE MANAGER REFERNCE AND THEIR LINKEDIN PROFILE AND OFFICIAL EMAIL ID.
Duration: 6-12 mo. contract
Top 3 must-have technologies:
We are seeking skilled Data Engineer(s) to support a high-impact enterprise data migration initiative. The goal is to migrate data warehouse assets and ETL pipelines from Teradata to Google Cloud Platform (GCP). The role involves hands-on development, testing, and optimization of data pipelines and warehouse structures in GCP, ensuring minimal disruption and maximum performance.
Key Responsibilities:
Preference:
Ability to work in Hartford, CT office at least thrice a week.
Location - At least 2x/week on-site in Hartford, CT-151 Farmington Avenue, Hartford, CT 06156- Locals Only Interview Process: One + done - 1 hour, 100% technical interview, will be asked to share screen and code!
NEED ONE MANAGER REFERNCE AND THEIR LINKEDIN PROFILE AND OFFICIAL EMAIL ID.
Duration: 6-12 mo. contract
Top 3 must-have technologies:
- GCP
- PythonSQL
- Teradata (platform they are moving off of)
- Healthcare experience
- Candidates who are well-versed + hands-on with required technologies
- Candidates who are self-sufficient and can be independent
We are seeking skilled Data Engineer(s) to support a high-impact enterprise data migration initiative. The goal is to migrate data warehouse assets and ETL pipelines from Teradata to Google Cloud Platform (GCP). The role involves hands-on development, testing, and optimization of data pipelines and warehouse structures in GCP, ensuring minimal disruption and maximum performance.
Key Responsibilities:
- Lead and execute migration of data and ETL workflows from Teradata to GCP-based services such as BigQuery, Cloud Storage, Dataflow, Dataproc, and Composer (Airflow).
- Analyze and map existing Teradata workloads to appropriate GCP equivalents.
- Rewrite SQL logic, scripts, and procedures in GCP-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 GCP-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.
- 4 to 6+ years of experience in Data Engineering, with at least 2 years in GCP.
- Strong hands-on experience in Teradata data warehousing, BTEQ, and complex SQL.
- Solid knowledge of GCP 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 GCP.
- Familiarity with CI/CD, GIT, Argo CD, and DevOps practices in cloud data environments.
- Strong analytical, troubleshooting, and communication skills.
- GCP certification (Preferred: Professional Data Engineer).
- Exposure to Apache Kafka, Cloud Functions, or AI/ML pipelines on GCP.
- Experience working in the healthcare domain.
- Knowledge of data governance, security, and compliance in cloud ecosystems.
- Problem solving mindset
- Attention to detail
- Accountability and ownership
- Curious and staying current with evolving GCP services
Preference:
Ability to work in Hartford, CT office at least thrice a week.
Vacancy posted 3 days ago
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