Lead Data Engineer

We are looking for a highly skilled and driven Lead Data Engineer to join our growing data team, responsible for designing, building, and optimizing scalable data pipelines and architectures.

Requirements

• Design, develop, and maintain robust, scalable, and high-performance data pipelines using modern data engineering practices.
• Lead the end-to-end ETL process, including data ingestion, transformation, validation, and delivery across multiple data sources.
• Architect and manage data warehousing solutions to support analytics, reporting, and business intelligence use cases.
• Leverage AWS services such as S3, Redshift, Glue, Lambda, and EMR to build efficient and cost-effective data infrastructure.
• Ensure data quality, integrity, and reliability through automated testing, monitoring, and alerting mechanisms.
• Optimize data workflows for performance, scalability, and cost-efficiency.
• Collaborate with data analysts, data scientists, and product teams to understand data requirements and deliver actionable datasets.
• Establish best practices for data governance, security, and compliance.
• Mentor and guide junior data engineers, conducting code reviews and promoting engineering excellence.
• Stay updated with the latest trends and technologies in data engineering and recommend improvements to existing systems.

Benefits

• Health Insurance
• 401(k) Matching
• Retirement Plan
• Paid Time Off