Senior Analytics Engineer

📋 Description

• Architect product-facing data models in BigQuery for customer apps.
• Pre-process and integrate disparate data sources.
• Data validation and QA across multi-terabyte datasets.
• Develop, monitor, and troubleshoot ELT/ETL pipelines at TB scale.
• Optimize pipeline performance with SQL tuning in BigQuery/Pinot.
• Champion data governance and CI/CD for data assets.
• Collaborate and mentor junior team members.

🎯 Requirements

• 3+ years in analytics/data engineering or related field.
• Advanced SQL with multi-terabyte cloud envs (BigQuery, Pinot).
• Data modeling and warehouse design.
• ETL/ELT development; orchestration with Airflow.
• Cloud data warehousing (GCP/BigQuery) and cost optimization.
• Strong communication with product and software teams.

🎁 Benefits

• Hybrid work with two remote days.
• Competitive compensation and benefits.
• Flexible time off and career development opportunities.
• Top-tier hardware and AI-assisted coding tools.