• Design and manage APIs to enable secure and efficient data flow between systems • Build, maintain, and optimize scalable data pipelines for reliability and performance • Develop and automate ETL processes to ingest, clean, and transform data from multiple sources • Manage and optimize the Snowflake data warehouse environment • Create and maintain data models and views to support reporting and BI tools • Monitor data pipelines and troubleshoot issues to ensure data consistency and accuracy • Collaborate with data analysts and BI teams to support reporting and visualization needs • Implement data governance, security, and compliance best practices • Validate data outputs and ensure quality, consistency, and integrity across systems • Continuously identify opportunities to improve performance, scalability, and efficiency • Document data flows, integrations, and system architecture for transparency and knowledge sharing • Provide support and guidance to stakeholders on data infrastructure and reporting capabilities

• Build and maintain ETL/ELT pipelines and data workflows • Design scalable data integration solutions • Optimize data processing and transformation performance • Support cloud data lake and analytics initiatives • Ensure data quality, governance, and operational reliability • Support automation and deployment activities • Contribute to technical documentation and architecture discussions

• Develop fast, robust, and spike-resistant data consumption, data mining, and processing tools for the entire company • Develop orchestration for large-scale post-processing, and computational pipelines • Participate in the development, optimization and productionization of the next generation data processing platform using Beam and Spark in the cloud • Build self-serve capabilities to help customers to adopt the next generation data processing platform • Use the latest cloud technologies to own, design, implement, and test scalable distributed data systems in the cloud • Champion engineering excellence by continuously improving systems and processes • Own technical projects from start to finish, contribute to the team’s product roadmap, and be responsible for major technical decisions and tradeoffs • Effectively participate in team’s planning, code reviews and design discussions • Conduct technical interviews with well-calibrated standards and play an essential role in recruiting activities.

• Designing, developing, and supporting scalable data and AI platforms • Building robust data pipelines • Integrating structured and unstructured data sources • Supporting AI/ML solutions in cloud-based environments