Technical Lead Data Engineer

Key Skills: AWS, AWS Cloud Engineer, Snowflake, ETL, DBT, Redshift, Dimensional Modelling, Python, Data modeling

Roles and Responsibilities:

• Design and maintain scalable ETL pipelines across AWS-based data platforms
• Build and optimize transformation layers using dbt for Snowflake and Redshift
• Develop and enforce data modeling standards for curated and analytics-ready datasets
• Lead technical implementation of advanced SQL logic for reporting and downstream consumption
• Partner with engineering and analytics teams to deliver reliable data solutions

Skills Required:

• 8 to 12 years of relevant data engineering experience
• Hands-on experience with ETL, dbt, Snowflake, Redshift, and AWS
• Strong data platform experience across cloud data warehouse environments
• Ability to design scalable data models and efficient SQL transformations
• Experience delivering production-grade data pipelines and API/integration-ready datasets

Good to Have:

• Python
• Dimensional Modelling
• Data modeling

Education: Bachelor's degree in Computer Science, Engineering, Information Systems, or related field