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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.
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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.
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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.
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