Lead Data Engineer

Accountabilities:

1. Lead the design, development, and deployment of high-performance, scalable data warehouses and data pipelines.
2. Collaborate closely with cross-functional teams to understand business requirements and translate them into technical solutions.
3. Oversee and optimize the use of Snowflake for data storage and analytics.
4. Develop and maintain SQL-based ETL processes.
5. Implement data workflows and orchestrations using Airflow.
6. Utilize DBT for data transformation and modeling tasks.
7. Mentor and guide junior data engineers, fostering a culture of learning and innovation within the team.
8. Conduct performance tuning and optimization for both ongoing and new data projects.
9. Proven ability to handle large, complex data sets and develop data-centric solutions.
10. Strong problem-solving skills and a keen analytical attitude.
11. Excellent communication and leadership skills, with the ability to work effectively in a team-oriented environment.
12. 8-12 years of relevant experience in data engineering roles, focusing on data warehousing, data integration, and data product development.

Essential Skills/Experience:

1. Snowflake
2. SQL
3. Airflow
4. DBT

Desirable Skills/Experience:

1. Snaplogic
2. Python

Education:

Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field.