Senior Data Analytics & AI Engineer

Accountabilities:

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

Essential Skills/Experience:

• Snowflake
• SQL
• Airflow
• DBT

Desirable Skills/Experience:

• Snaplogic
• Python

Academic Qualifications:

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