Data Engineer

Role Summary We are looking for Data Engineer to design and scale data pipelines, analytical models, and fraud intelligence capabilities, with a strong focus on Snowflake based data warehousing, rule driven detection, and explainable risk outcomes. Core Responsibilities • Design, develop and maintain scalable data pipelines using Snowflake and DBT. • Build high-quality data models, including dimensional and star schema models. • Build and optimize ETL/ELT pipelines using Snowpipe, Streams, Tasks, and stored procedures • Develop solutions for time-series datasets and analytical workloads. • Collaborate with business stakeholders to understand requirements and translate them into technical solutions. • Contribute to the ongoing evolution of the organisation's cloud data platform. • Partner with risk stakeholders to support rule based and analytical fraud logic • Ensure data quality, lineage, and auditability across MRV/MRD workflows • Tune SQL performance and optimize warehouse cost and usage • Support experimentation with advanced analytics and GenAI driven insights • Collaborate with platform and backend engineers on end to end data flows Required Skills & Experience • 4+ years of hands on experience as a Snowflake developer, including data modeling and transformation workflows (dbt preferred). • Strong expertise in advanced SQL, performance tuning, and warehouse optimization. • Hands on experience building ETL/ELT pipelines using Snowpipe, Streams, Tasks, and stored procedures. Required Personal Skills: • Strong communication skills both verbal and written. Capable of collaborating effectively across a variety of IT and Business groups, across regions and different roles • Good customer service skills. Ability to deal with difficult situations/individuals gracefully Preferred / Nice to Have • Experience modeling data from SAP ECC / SAP S/4HANA or other enterprise systems • SnowPro Certification