Posted:19 hours ago|
Platform:
Hybrid
Full Time
• A hands-on engineer with deep experience working with a variety of AWS services for ingestion, curation, storage, orchestration, data management, analytics and distribution.
• Good knowledge of data modelling and how to structure data within a data warehousing environment, while following best practice data management standards.
• Solid data product architecture and solution design experience with a good working knowledge of DevSecOps practices to achieve high levels of automation across complex data pipelines.
• Experience in real time streaming using Confluence Kafka and AWS services.
• Experience with Airflow, AWS Glue, Apache Iceberg, Athena, RedShift and DataZone. • Experience in Data visualization tools such as Tableau/Power BI/QuickSight.
• Solid experience in Python, Spark and Terraform/Terragrunt.
• Experience working within a platform/product operating model where frameworks and development kits are leveraged to achieve standardisation, re-use and scale.
• A working knowledge of data mesh/data product concepts with federated data ownership at the domain-level but operating on centralised platforms and governance.
• Experience working in Capital Markets domain and understanding of derivative products.
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