Data Engineer

We are looking for a highly skilled Data Engineer with strong expertise in AWS, Databricks, PySpark, and Airflow to join our growing Data Engineering team. The ideal candidate will be responsible for designing, building, and optimizing scalable data pipelines and solutions that enable advanced analytics, machine learning, and business intelligence across the organization.

Requirements

• Design, develop, and maintain scalable ETL/ELT pipelines using Databricks, PySpark, and Airflow.
• Build and optimize data models and data lakes/warehouses on AWS.
• Implement best practices for data quality, data governance, and performance optimization.
• Collaborate with cross-functional teams (data scientists, analysts, product, and business teams) to deliver data-driven solutions.
• Ensure reliability, scalability, and efficiency of data workflows through automation and monitoring.
• Troubleshoot complex data engineering issues and optimize processing performance.

Benefits

• Health, dental, and vision insurance
• Retirement savings plans with company match
• Flexible working hours and remote work opportunities
• Professional development and training programs
• Paid time off and holidays