We are looking for an experienced
GCP Data Engineer
with strong hands-on expertise in
Google Cloud Platform, BigQuery, DBT, and Apache Airflow
. The ideal candidate will be responsible for designing, developing, and maintaining scalable data pipelines and transformation workflows for analytics and business intelligence platforms.

Key Responsibilities
- Design, develop, and maintain scalable
data pipelines on GCP
.
- Build and optimize data transformation workflows using
DBT (Data Build Tool)
.
- Develop and manage ETL/ELT pipelines using
Apache Airflow
.
- Work extensively with
Google BigQuery
for data ingestion, transformation, modeling, and optimization.
- Develop effective SQL queries and optimize BigQuery performance and costs.
- Build reusable DBT models, tests, macros, snapshots, and documentation.
- Create and maintain Airflow DAGs for scheduled and event-driven data workflows.
- Integrate data from multiple sources including databases, APIs, files, and cloud applications.
- Implement data quality checks, validation, monitoring, and error handling.




- Design data models suitable for analytics, reporting, and BI use cases.
- Work with GCP services such as
Cloud Storage (GCS), Cloud Composer, Pub/Sub, Dataflow, Cloud Functions, and IAM
.
- Monitor pipeline performance and troubleshoot data engineering issues.
- Implement best practices for data security, governance, reliability, and scalability.
- Collaborate with Data Scientists, BI Developers, Analysts, Software Engineers, and business stakeholders.

Required Skills
- 4+ years of experience in Data Engineering.
- Strong hands-on experience with
Google Cloud Platform (GCP)
.
- Excellent knowledge of
BigQuery
.
- Strong experience with
DBT / DBT Core or DBT Cloud
.
- Strong experience with
Apache Airflow
and DAG development.
- Advanced
SQL
skills.
- Strong experience in
Python
for data engineering and automation.
- Experience developing
ETL/ELT pipelines
.
- Good understanding of data warehousing concepts and d

📌 GCP Data Engineer (Hyderabad)
🏢 Vastika
📍 Hyderabad