Role & responsibilities

Position: Data Engineer

:

We are looking for a skilled Data Engineer with solid experience in Google Cloud Platform (GCP) to design, build, and maintain scalable data pipelines and data platforms.

Key Responsibilities:

- Design and develop scalable data pipelines and ETL/ELT workflows.
- Develop data ingestion, transformation, and integration processes.
- Work with large structured and unstructured datasets.
- Build and optimize cloud-based data warehouses and data lakes.
- Perform data cleansing, validation, and data quality checks.
- Develop and optimize SQL queries and data processing jobs.
- Work with GCP data services and cloud-native technologies.
- Monitor, troubleshoot, and optimize production data pipelines.
- Collaborate with Data Scientists, Data Analysts,



Developers, and business teams.

Must-Have / Mandatory Skills:

- Google Cloud Platform (GCP) Mandatory
- BigQuery
- Python
- SQL
- ETL / ELT
- Data Pipeline Development
- Data Warehousing
- Data Modeling
- Apache Spark / PySpark
- GCP Data Services such as Dataflow, Dataproc, Cloud Storage, Pub/Sub
- Experience with cloud data engineering and data integration.

Good-to-Have Skills:

- Databricks
- Apache Airflow / Cloud Composer
- Kafka
- Terraform
- Git / CI-CD
- Docker / Kubernetes
- Data Lake / Lakehouse
- Data Quality and Governance

📌 Gcp Data Engineer (Bengaluru)
🏢 Cerebra
📍 Bengaluru