Senior Gen AI Data Platform Engineer

Tiger Analytics Inc.; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Career development

Entrepreneurial environment

Job summary

Tiger Analytics Inc. is seeking experienced Machine Learning Engineers with Gen AI expertise to join a fast-growing analytics consultancy in the United States. You will work on cutting-edge data platforms, build scalable data pipelines, and partner with Fortune 500 clients to derive business value from data.

Strong Python/SQL skills, proficiency with Spark ecosystems, and cloud experience in AWS or GCP are required. Collaboration with global teams and a DevOps mindset are essential for success.

Qualifications

• Proficiency in Python, SQL, and PySpark.
• Experience with Snowflake, NOSQL and Neo4j.
• Experience with Apache Airflow.

Responsibilities

• Develop and deploy data pipelines for batch and real-time workloads.
• Design and optimize data architectures for large-scale analytics.
• Collaborate with onshore/offshine teams to deliver Gen AI solutions.

Skills

Python

SQL

PySpark

Snowflake

NoSQL

Neo4j

Airflow

AWS

GCP

Linux

GitHub

VS Code

DevOps

Communication

Collaboration

Tools

Docker

Kubernetes

Terraform

CloudFormation

OpenSearch

Job description

Tiger Analytics Inc. is seeking experienced Machine Learning Engineers with Gen AI expertise to join a fast-growing analytics consultancy in the United States. You will work on cutting-edge data platforms, build scalable data pipelines, and partner with Fortune 500 clients to derive business value from data.

Strong Python/SQL skills, proficiency with Spark ecosystems, and cloud experience in AWS or GCP are required. Collaboration with global teams and a DevOps mindset are essential for success.