We are seeking a highly skilled and hands-on Senior Data Engineer to architect and maintain modern data infrastructure and pipelines.This is a technical role focused on building a scalable data platform that powers analytics, insights, and agentic workflows to enable data-driven decision making across the company. You will work closely with analysts, product, and engineering teams to design end-to-end data solutions using tools like AWS Redshift, Athena, Snowflake, and other leading cloud platforms. Responsibilities Design and build scalable data pipelines to ingest, process, and store large volumes of structured and unstructured data from diverse sources. Develop and maintain robust data warehouse architectures leveraging tools such as AWS Redshift, Athena, and Snowflake. Optimize data models, queries, and storage strategies for performance, scalability, and cost-effectiveness. Collaborate with cross-functional stakeholders (analytics, product, payments and finance) to gather requirements and deliver data solutions that support business goals. Ensure data quality, security, and privacy through best practices in governance, testing, and monitoring. Own and operate production data workflows, resolving incidents and ensuring reliability. Develop and maintain infrastructure optimized for both analytics and AI workloads, including transformation and semantic layers. Design and monitor agentic flows aimed at democratizing data access for users across the company, ensuring reliability, scalability, and accuracy. Tech Stack Languages & Tools: Python, SQL Data Warehousing & Query Engines: Snowflake, AWS Redshift, Athena Pipeline & Orchestration: Apache Airflow, AWS Glue, dbt Cloud & DevOps: AWS (Lambda, S3, IAM), Docker, Terraform Streaming: Kafka, Kinesis BI & Analytics: Tableau, Power BI
