Description

You will design, build, and maintain scalable data infrastructure supporting BI, analytics, and ML initiatives.

Responsibilities

• Design and optimize analytical datasets for high-volume reporting and data science modeling.
• 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.
• Collaborate with product managers to translate business data requirements into technical solutions.

Required Skills

• 5+ years of professional experience in data engineering.
• Expert-level proficiency in Python for data engineering tasks.
• Expert-level skills in BigQuery, including performance optimization and data modeling at scale.
• Solid command of advanced SQL for complex querying and tuning.
• Experience with workflow orchestration tools such as Apache Airflow, Cloud Composer, or Dagster.
• Hands-on experience with Google Cloud Platform (GCP) services like Cloud Storage, Pub/Sub, and Cloud Dataflow/Beam.
• Familiarity with CI/CD practices and version control using Git.

Key Skills

Education

Any Gradute