Senior Data Engineer
9 hours ago
- At Unlimit, we are reimagining the future of financial technology by putting data and AI at the core of everything we do.
- As a Senior Data Engineer, you won't just be moving data from point A to point B – you'll be building the backbone of an AI-native company.
- From day one, you'll shape the way our data is collected, structured, and secured, ensuring it can serve as trusted fuel for real-time decisions, advanced analytics, and the AI Agents we are developing to drive smarter, more adaptive services.
- Your pipelines will support our architects, BI specialists, and data scientists – but more importantly, your work will enable Unlimit to transform data into intelligence and intelligence into action.
- This is not a "keep the lights on" role. It's a chance to build from the ground up, influence standards and governance, and ensure that our AI Agents rest on a foundation that is reliable, resilient, and scalable.
- The systems you design will determine how fast and how far we can go in delivering the next-generation financial solutions worldwide.
- Must-Have:
- Deep knowledge of Snowflake, with proven hands-on experience; certification is a strong plus.
- 5+ years in data-focused technical roles (data engineering, database development, ETL, data management, data warehouses, and pipelines).
- Expertise in evaluating, selecting, and integrating ingestion technologies to solve complex data challenges.
- Demonstrated experience designing and developing enterprise data warehouses (e.g., Teradata, Oracle Exadata, Netezza, SQL Server, Spark).Proficiency in building ETL/ELT ingestion pipelines using tools such as DataStage, Informatica, or Matillion.
- Strong SQL scripting skills.
- Cloud experience with AWS (Azure and GCP are a plus).Solid programming skills in Python; Scala experience required.
- Familiarity with data catalogues (e.g., Polaris, Data.World).
- Ability to support and collaborate with cross-functional, agile teams in a dynamic environment.
- Advanced English communication skills.
- Bachelor's degree in Engineering, Computer Science, or a related field (or equivalent experience).
- Nice-to-Have:
- Experience with large-scale data migrations into Snowflake is a plus.
- Background in data governance and security is a plus.
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