Sr Data Engineer + Platform Engineer (GCP)

Tiger Analytics; Hartford (CT); Hybrid; USD 90,000 - 120,000; Full time

Benefits offered by this job

Career development opportunities

Job summary

A leading analytics firm in Hartford, CT is seeking candidates for a hybrid role requiring strong skills in SQL, Python, and Google Cloud services. Prospective applicants will work on building scalable ELT/ETL pipelines and managing security and automation. Significant career development opportunities are offered in a challenging environment. Interested candidates should possess DevOps experience and be passionate about leveraging analytics to solve complex business problems.

Qualifications

• Proficiency in SQL, Python, and core Google Cloud services.
• Experience with GCP Data Transfer services and designing data pipelines.
• Strong skills in Python, containerization, and automation.

Skills

Proficiency in SQL

Python

Google Cloud services

Containerization & Orchestration: Docker

Google Kubernetes Engine (GKE)

Tools

GCP Data Transfer service

Terraform

Cloud Build

Cloud Deploy

Job description

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

If you are passionate about solving business problems that can be solved using systems thinking, AI engineering and data driven Insights, Tiger Analytics would like to talk to you. Now hiring for multiple roles across solution architecture, consulting and forward deployed engineering teams

Please note this is a Hybrid role with 3-4 days a week onsite.

Qualifications

• Proficiency in SQL, Python, and core Google Cloud services (BigQuery, Dataflow, and Cloud Storage) for building scalable ELT/ETL pipelines.
• Experience with GCP Data Transfer service, Cloud Transfer Servie, Pub/Sub, Cloud Data Flow, Cloud Data Proc, Cloud Data Prep, Cloud Composer etc
• Strong in Python.
• Key skills include designing data models, implementing real-time processing (Pub/Sub), managing security (IAM), and automating infrastructure (Terraform)
• Experience in, Alloy DB Setup, Vertex DB setup, Microservices, Terraform, Cloud Run, Cloud Scheduler
• Experience with GCP Services deployments, Alloy DB Setup, Vertex DB setup, Microservices, Terraform, Cloud Run, Cloud Scheduler
• Provisioning the GCP Resources
• Containerization & Orchestration: Docker and Google Kubernetes Engine (GKE)
• GCP DevOps experience: Cloud Build, Cloud Deploy

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibilities.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.