Senior Software Engineer

Design and maintain optimal data pipeline architecture to ensure efficient, scalable, and reliable data flow across the organization.

Assemble and integrate large, complex datasets that meet both functional and non-functional business requirements, ensuring data quality and consistency.

Build and optimize infrastructure for extraction, transformation, and loading (ETL/ELT) of data from diverse sources using SQL, Python, distributed data processing frameworks, cloud data platforms, and cloud services (such as AWS, Azure, or GCP).

Collaborate with cross-functional stakeholders, including Executive, Product, Data, and Design teams, to address data-related technical challenges and support their data infrastructure needs.

Develop data tools and frameworks for analytics and data science teams to empower them in building and optimizing products that position the company as an innovative industry leader.

Partner with data and analytics experts to continuously enhance functionality, performance, and scalability of data systems.

• Lead project and stakeholder management activities, taking full ownership of the quality, timeliness, and successful delivery of data products and solutions.