Lead Data Engineer

We are seeking a highly skilled Lead Data Engineer to join our dynamic team. The ideal candidate will have extensive experience in data engineering, particularly with Snowflake and ETL processes. As a Lead Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines that support our analytics and business intelligence initiatives. You will work closely with data scientists, analysts, and other stakeholders to ensure that data is accessible, reliable, and actionable.

Key Responsibilities:

• Design and implement robust ETL processes to extract, transform, and load data from various sources into Snowflake.
• Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs.
• Optimize data storage and retrieval processes to enhance performance and efficiency.
• Monitor and troubleshoot data pipeline issues, ensuring data quality and integrity.
• Mentor and guide junior data engineers, fostering a culture of continuous learning and improvement.
• Stay updated with the latest trends and technologies in data engineering and analytics.

Required Skills:

• Strong expertise in Snowflake and ETL tools.
• Proficiency in data modeling and database design.
• Experience with data warehousing concepts and best practices.
• Familiarity with programming languages such as Python or SQL.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration abilities.

If you are passionate about data engineering and want to make a significant impact in a fast-paced environment, we encourage you to apply for this exciting opportunity.