Role & responsibilities
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.
Nice to have
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.
Notice Period- Immediate to 30 Days or Serving Notice period

Keyskills: Redshift Aws AWS Pyspark Aws Lambda Terraform Devsecops Aws Glue Python
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