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 efficient 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.

- Solid experience in

Python for data engineering and automation.

- Experience developing

ETL/ELT pipelines

.

- Good understanding of data warehousing concepts and dimensional data modeling.

- Experience with Git and CI/CD practices.

- Understanding of data quality, testing, monitoring, and pipeline orchestration.

📌 GCP Data Engineer (Hyderabad)
🏢 Vastika
📍 Hyderabad