Data Engineer

Job responsibilities:

• Data Architecture & ETL Development: Design & develop robust data architecture. Design & develop scalable ETL design to build performant data pipeline solutions & feature engineering . Write well-structured, efficient, and maintainable code.

• Data Analysis & Feature Engineering : Develop Data Quality checks, perform data analysis and identify gaps for feature engineering. Able to develop/reuse data models & perform preprocessing, perform data mapping & implement data pipelines

• Technical Leadership: Provide technical guidance and mentorship to junior developers. Develop and maintain ETL routines using ETL and orchestration tools such as Airflow .

• Collaboration: Work closely with Architect, Platform owner, cross-functional team such as Business Analysts, product managers, and Data Scientists , to deliver high-quality data pipelines . Collaborate with data scientists to understand data sources & then integrate, design & implement scalable and efficient data pipelines .

• Documentation : Create and maintain data models, data mapping, technical documentation, including design documents and code documentation.