Description

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

This role is hybrid.

Responsibilities

• Design and implement scalable data pipelines for batch and real-time streaming analytics.
• Architect and optimize analytical datasets for high-volume reporting and data science.
• Collaborate with product managers to translate data requirements into technical solutions.
• Maintain data ingestion and modeling workflows using orchestration tools.

Required Skills

• 5+ years of experience in data engineering roles.
• Expert-level proficiency in Python for data engineering tasks.
• Advanced SQL skills for complex querying and performance tuning.
• Extensive hands-on experience with Google Cloud Platform (GCP).
• Expert-level skills in data ingestion and modeling within BigQuery.
• Experience with workflow orchestration tools such as Apache Airflow or Cloud Composer.
• Proficiency with Git for version control and familiarity with CI/CD practices.

Preferred Skills

• Skills in Data Modeling and Performance Tuning.

Key Skills

Education

Any Graduate