Senior Data Engineer

The Senior Data Engineer will design, build, and maintain scalable data pipelines, models, and infrastructure that power analytics, business intelligence, and machine-learning products across the company.

Requirements

• Build E2E Azure Databricks-based data solutions.
• Design, develop, and maintain scalable ETL and streaming data pipelines on Azure Databricks, leveraging Apache Spark, Delta Lake, and Azure Data Lake Storage (ADLS Gen2).
• Build and optimize data models and schemas for analytics, reporting, and operational data stores.
• Implement and maintain data quality frameworks, including data validation, monitoring, and alerting mechanisms.
• Provide technical mentorship and guidance to junior team members, promoting best practices in software engineering, data engineering, and agile development.
• Troubleshoot and resolve complex Azure Databricks platform data infrastructure and pipeline issues, ensuring minimal downtime and optimal performance.

Benefits

• Comprehensive benefits program
• Bonus eligibility