Description

Key Responsibilities
Design, develop, and maintain scalable ETL/ELT data pipelines.
Build data models and transformations using DBT.
Develop and optimize queries, schemas, and data warehouse solutions in Big Query.
Perform partitioning, clustering, query optimization, and performance tuning.
Work with GCP services including BigQuery, GCS, Cloud Composer/Airflow, Dataflow, Pub/Sub, and Cloud Functions.
Implement data quality checks, testing, and monitoring using DBT.
Collaborate with Data Analysts, BI teams, and other stakeholders to support analytics and reporting.
Support Looker and other analytics requirements through reliable data models.

Required Skills
6–8 years of experience in Data Engineering, ETL/ELT, and Data Warehousing.
Strong hands-on experience with DBT (Data Build Tool).
Excellent knowledge of Big Query, database design, SQL, and data modelling.
Experience with GCP data services – Big Query, GCS, Cloud Composer/Airflow, Dataflow, Pub/Sub, Cloud Functions.
Strong SQL and query optimization skills.
Experience with data warehouse performance tuning, partitioning, and clustering.
Good understanding of data pipelines, data quality, and testing frameworks.
Exposure to Looker/BI tools is an added advantage.
Preferred: Experience in modern cloud data platforms and large-scale data transformation projects

Key Skills

Education

Any Gradute