Full Stack Engineer
Core
Design, develop, and maintain scalable data pipelines and infrastructure to support analytics, reporting, and machine learning.
Role type
Senior Data Engineer
Builds
ETL/ELT workflows, data models, and cloud-based data infrastructure
Domain
Cloud data engineering and analytics
Deliverable
production ML models | dashboards & analysis
Required skills
Python, SQL (T-SQL, SnowSQL), Airflow, DBT, ETL, AWS (S3, EC2, Lambda), PostgreSQL
Preferred skills
Data modeling for analytical reporting, performance tuning for large-scale datasets, CI/CD tools (GitHub, Jenkins), Tableau, Power BI
Technologies
Python, SQL, Airflow, DBT, Snowflake, PostgreSQL, AWS
Responsibilities
Design, develop, and maintain database objects and data pipelines; Write efficient SQL and PL/pgSQL code; Collaborate with business stakeholders to translate requirements into technical solutions; Optimize data models and queries for performance; Participate in code reviews.
Seniority
Senior, hands-on IC