uWorkin

We're looking for a candidate to fill this position in an exciting company.

• work across a broad array of product heads, data scientists & business stakeholders to understand data needs across the full product lifecycle
• ensure common understanding of our data and its quality, ownership and lineage throughout its lifecycle from capture through a client interaction through to reporting to internal and external stakeholders
• provide guidance on solution architecture, engineering principles, and implementation of data applications using existing and emerging technology platforms
• define the ownership, design and governance of fit-for-purpose logical and physical data domain models spanning data in motion and data at rest
• build a strong data community through collaboration with other architects and engineers and work through this community to execute on opportunities to deliver better client and business outcomes through data
• work as part of a global team of leading engineers and architects
• have a high degree of flexibility in working arrangements, including physical location and time of day.

• experience in end-to-end implementation of data intensive analytics-based projects (data acquisition, ingestion, integration, and transformation).
• knowledge of design, development, and implementation experience utilizing data engineering technologies.
• good understanding of AWS and GCP service landscapes, especially data services
• experience building data ingestion on the cloud (for example using tools like Glue, Sqoop and vendor products like Talend, Unifi or StreamSets)
• experience with big data technologies – AWS S3, Hive, noSQL/SQL databases (Redshift, Cassandra), parallel processing techniques, and Apache Spark
• experience with data modelling techniques such as Data Vault and Kimball
• understanding of streaming data architectures and technologies for real-time and low-latency data processing such as Kafka and Kinesis
• familiarity with Agile methodologies, test-driven development, source control management, and automated testing
• Financial Services / FinTech industry experience is not required.