Vacancy Description
Can you lead the design of reusable data pipeline blueprints on AWS for analytics?
Join our expert team to work on an Analytics platform, contributing to the development of reusable, cloud‑native data pipeline blueprints for ingestion and transformation. You will apply your knowledge of AWS , Snowflake and dbt to build deployable production‑grade data solutions. Pipelines and transformations are implemented as code and designed to be reusable across multiple environments.
Responsibilities
You will design and build end‑to‑end data ingestion and transformation pipelines on AWS using Glue, PySpark, Lambda and S3; model and optimise analytical schemas in Snowflake with dbt; deliver reusable blueprints via Infrastructure as Code and CI/CD; and ensure observability, performance and reliability while working closely with technical leads and business stakeholders to own delivery and drive continuous improvement.
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