Data Warehouse Engineer
7 days ago
Job Description:
We are looking for an experienced
Data Warehouse Engineer
with strong expertise in
dbt (data build tool)
,
Snowflake
, and
ELT pipeline development
to build an end-to-end analytics-ready data platform for a fintech lending product. You will design and implement
star schema data models
, create
fact and dimension tables
, and develop
incremental dbt transformations
to support portfolio analytics, customer segmentation, and risk tracking.
The role involves creating scalable and auditable pipelines, ensuring
data governance
, and integrating with BI tools such as
Tableau
and
Power BI
. You'll also establish CI/CD workflows, manage environment segregation, and automate orchestration through
Airflow
or
dbt Cloud
.
Key Responsibilities:
- Design and implement
Snowflake-based data warehouses
using dbt. - Build
staging, intermediate, and marts
dbt models. - Enforce data quality via
dbt tests (unique, not_null, relationships)
. - Automate data ingestion through
Fivetran, Airbyte, or Snowpipe
. - Support analytics and dashboarding teams with clean data models.
Qualifications:
- 3+ years of experience with
dbt, Snowflake, SQL, and data modeling
. - Proven experience with
ETL/ELT architecture
and
CI/CD pipelines
. - Knowledge of
data governance, version control, and orchestration tools
. - Background in
fintech or lending analytics
preferred.
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