Description

You will design and build scalable data infrastructure and ML-ready pipelines.

This role is remote.

Responsibilities

• Design, build, and optimize scalable data pipelines, ETL processes, and data lakes or warehouses.
• Implement data solutions on AWS, Azure, or GCP cloud platforms.
• Manage relational and NoSQL databases with a focus on performance and reliability.
• Orchestrate workflows using Apache Airflow, Argo Workflows, or equivalent tools.
• Prepare data for machine learning, including cleaning, feature engineering, and ensuring reproducible training pipelines.

Required Skills

• 5+ years of experience in data engineering.
• Strong proficiency in ETL processes.
• Hands-on experience with AWS, Azure, or GCP.
• Deep understanding of both relational and NoSQL databases.
• Experience with orchestration tools such as Apache Airflow or Argo Workflows.
• Expertise in data cleaning and feature engineering for ML models.

Preferred Skills

• Experience with model training workflows.
• Background in data architecture design.

Key Skills

Education

Any Graduate