Looker Developer || GCP Data Engineer

Experience Level : 5+ years in Looker along with the Bigquery

Role Summary :

The Data Engineer will focus on preparing, validating, and ensuring the quality of data required. They will work on pipelines, transformations, and automation to ensure entity mappings are accurate and data is reliable for Looker dashboards.

Responsibilities :

Perform data transformations to enable entity-level tagging across lookup tables.

Build pipelines or automation scripts to validate and maintain mapping accuracy.

Partner with Backend Engineer to ensure schema updates are correctly populated with data.

Support RBAC rollout by ensuring

clean and consistent datasets

flow into Looker.

Collaborate with Platform Engineers to align the LookML layer with validated data.

Skills & Experience (must-have) :

Strong

SQL

and

Python

skills for data transformation.

Hands-on experience with

BigQuery

(data structures, partitioning, optimization).

LookML (Looker Modeling Language) experience

for validating datasets and ensuring semantic consistency.

Experience with ETL / ELT tools (e.g., dbt, Dataflow, Composer).

Strong understanding of

data quality frameworks and validation techniques .

5–7+ years of experience in data engineering.