Description

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

This role is on-site.

Responsibilities

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

Required Skills

• 7+ years of professional experience in data engineering or architecture.
• Expert-level proficiency in Python, including data engineering libraries.
• Advanced command of SQL for complex querying and performance tuning.
• Extensive hands-on experience with Google Cloud Platform (GCP) services.
• Expert skills in BigQuery data ingestion, modeling, and optimization.
• Experience with workflow orchestration tools like Apache Airflow or Cloud Composer.
• Familiarity with Git, GitLab, or GitHub Actions for CI/CD.

Preferred Skills

• Experience optimizing data performance at large scale.

Key Skills

Education

Any Graduate