Description

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

Responsibilities

• Design, implement, 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 both batch and real-time streaming analytics.
• Translate data requirements from product managers and business teams into technical solutions.

Required Skills

• 7+ years of professional experience in a data engineering capacity.
• Expert-level proficiency in Python, including relevant data engineering libraries.
• Expert-level skills in BigQuery, focusing on ingestion, optimization, and modeling at scale.
• Solid command of advanced SQL for complex querying and performance tuning.
• Extensive experience with Google Cloud Platform (GCP) services, including Cloud Storage and Cloud Dataflow/Beam.
• Prior experience orchestrating data workflows using tools like Apache Airflow or Cloud Composer.
• Experience with version control (Git) and familiarity with CI/CD practices using tools like GitLab or GitHub Actions.

Key Skills

Education

Any Graduate