Lead Data Engineer

We're looking for an experienced Data Engineer to join our client. If you're passionate about designing scalable data solutions, building robust data pipelines, and driving business intelligence initiatives on Google Cloud Platform, we'd love to hear from you!

Experience : 8 - 12 Years

Location : North Bangalore

Work Mode : Hybrid (2 Days/Week Onsite)

Key Responsibilities :

- Design, develop, and maintain scalable data pipelines using Apache Airflow.
- Build and manage analytics data warehouse solutions on Google BigQuery.
- Implement productive ETL processes across multiple data sources.
- Collaborate with cross-functional teams to deliver scalable data solutions.
- Optimize data workflows while ensuring data quality, consistency, and security.
- Support and mentor Data Engineers while driving engineering best practices.
- Monitor, troubleshoot,



and improve the performance of data pipelines.
- Identify automation opportunities and enhance data infrastructure scalability.

Required Skills :

- Google Cloud Platform (GCP)
- Python / Java / Scala (5 Years)
- Google BigQuery
- Google Cloud Storage
- Cloud Composer
- Dataflow & Google Pub/Sub
- SQL
- Apache Airflow
- Jenkins
- Shell Scripting
- Tableau APIs
- Ansible

Good to Have

- Experience with Data Warehouse & ETL Migrations.
- PySpark, REST APIs, and Microservices.
- Experience implementing real-time streaming data solutions into Enterprise Data Warehouses.
- Experience in the Retail or Restaurant domain (preferred).

📌 Lead Data Engineer (India)
🏢 Prosapiens
📍 India