GCP Data Engineer

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:

• GCP
• PythonSQL

Nice-to-Haves:

• Teradata (platform they are moving off of)
• Healthcare experience

Will be looking for:

• Candidates who are well-versed + hands-on with required technologies
• Candidates who are self-sufficient and can be independent

Position Detail:


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.

Required Skills:

• 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.

Preferred Qualifications:

• 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.

Behavioral Skills:

• 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.