Description

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

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 both batch and real-time streaming analytics.
• Collaborate with product managers to translate data requirements into technical solutions.

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 (e.g., Apache Airflow, Cloud Composer).
• Proficiency with Git for version control and familiarity with CI/CD practices.
• Skills in Data Modeling and Performance Tuning.

Key Skills

Education

Any Graduate