Sr. Data Engineer

Design, develop, and maintain data solutions for data generation, collection, and processing 

Be a key team member that assists in design and development of the data pipeline 

Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems 

Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions 

Take ownership of data pipeline projects from inception to deployment, manage scope, timelines, and risks 

Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs 

Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency 

Implement data security and privacy measures to protect sensitive data 

Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions 

Collaborate with Data Architects, Business SMEs, and Data Scientists to design and develop end-to-end data pipelines to meet fast paced business needs across geographic regions 

Identify and resolve complex data-related challenges 

Adhere to best practices for coding, testing, and designing reusable code/component 

Explore new tools and technologies that will help to improve ETL platform performance 

Participate in sprint planning meetings and provide estimations on technical implementation 

Collaborate and communicate effectively with product teams