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Description supplied by the original job listing.
Responsibilities:
Design and build the data platform to support TB-scale datasets with strong reliability, observability, and cost efficiency.
Build standardised ingestion frameworks (batch + near-real-time where needed), including schema evolution, backfills, and data quality controls.
Own warehouse/lakehouse modelling patterns (dimensional, event-based, and domain-oriented models), with clear semantic layers for self-serve analytics.
Requirements:
4-7 years building production-grade data/backend systems, with meaningful ownership of platform components end-to-end.
Hands-on experience with a modern stack similar to dbt + orchestration (Airflow/Dagster) + cloud warehouse (Snowflake/BigQuery/Redshift).
Strong programming ability in Python or Go, plus SQL fluency.
Experience
4-6 yrs
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