Description

You will design, build, and maintain scalable data infrastructure to support analytics and machine learning.

This role is hybrid.

Responsibilities

• Design, implement, and optimize analytical datasets for high-volume reporting and data science.
• Architect and maintain scalable data pipelines for BI and advanced analytics.
• Implement Big Data solutions for batch and real-time streaming analytics.
• Collaborate with product managers to translate business data requirements into technical solutions.

Required Skills

• 5+ years of experience in data engineering or a related field.
• Expert-level proficiency with Python, including data engineering libraries.
• Expert-level skills in BigQuery for data modeling and optimization at scale.
• Solid command of advanced SQL for complex querying and tuning.
• Experience with workflow orchestration tools (Apache Airflow, Cloud Composer, Dagster, etc.).
• Hands-on experience with Google Cloud Platform (GCP) services.
• Experience with version control using Git and CI/CD practices (GitLab, GitHub Actions).

Key Skills

Education

Any Graduate