Description

You will build and operate data infrastructure, ETL pipelines, and machine learning models to drive automation and analytics.

This role is remote.

Responsibilities

• Build and optimize data warehouses, ETL solutions, and automated data flows.
• Develop end-to-end data capabilities including collection, aggregation, visualization, and productionization.
• Operate infrastructure for data labeling, feature creation, training, evaluation, and serving of online and offline models.
• Implement automation to enable organizational scaling and flexibility.

Required Skills

• 2+ years experience with Databricks, Delta Lake, Oracle, or AWS Redshift.
• 1+ years experience with AWS/GCP cloud ecosystems (Glue, Kafka, Elastic Search, RDS, Kubernetes, or BigQuery).
• 2+ years working experience in Python-based data integration and pipeline development.
• Strong AWS and Python experience.
• Experience building Agentic AI and understanding its architecture.
• Recent experience with Gen AI tools like Claude.
• Proficient SQL skills.

Preferred Skills

• Experience with Git, Jenkins, and CI/CD pipeline development.
• Familiarity with S3, Lambda, and SageMaker.

Key Skills

Education

Bachelor's degree