Data Engineer

Several years of experience in Data Engineering Strong SQL and Python fundamentals Hands on experience with Snowflake (or equivalent modern cloud warehouses) Experience with dbt, Stitch or AWS (or equivalent cloud platforms) Strong Data modeling skills (star/snowflake schemas) Ability to work independently in a fast paced environment Familiarity with CI/CD and DevOps practices for data infrastructure. Strong grasp of data science and AI concepts like feature engineering, model lifecycle and real time inference.

Design, build, and maintain ETL pipelines using Stitch and AWS-native services. Own and optimize Snowflake data warehouse, including schema design and performance tuning. Implement dbt models to transform raw data into clean, analytics-ready datasets. Support Looker by developing LookML models, explores, and governed metrics. Build data quality checks, logging, and monitoring across pipelines. Design AI ready ecosystems that are scalable and resilient, supporting both structured and unstructured data for Machine learning and AI Use cases. Monitor, troubleshoot and optimize pipelines for speed, scalability and cost efficiency in AI workloads. Partner with product, support, operations and engineering teams to define and deliver data solutions. Contribute to roadmap planning and provide architectural guidance including data modelling standards, storage strategies, governance and long term scalability.