
Gcp Data Engineer
1 week ago
Location: Bangalore/Mumbai (Hybrid)
Key Responsibilities
- Design, develop, and maintain data pipelines on GCP using Dataflow, Dataproc, Pub/Sub, Composer (Airflow), and BigQuery.
- Build and manage ETL processes on GCP Cloud leveraging Python/Java and scripting for automation.
- Implement batch and streaming data ingestion frameworks and ensure reliability, scalability, and performance.
- Work with different databases (SQL and NoSQL), including on-premise and cloud solutions.
- Apply data warehousing concepts to design efficient, scalable, and cost-effective data solutions.
- Optimize pipelines for performance, cost, and reliability while adhering to best practices.
- Troubleshoot, debug, and resolve data pipeline issues and ensure data quality and integrity.
- Collaborate with data analysts, data scientists, and business stakeholders to deliver end-to-end data solutions.
Must-Have Skills
- Strong hands-on experience with GCP services: GCS, Pub/Sub, Dataflow/Dataproc, BigQuery, and Composer (Airflow).
- Proficiency in Python (preferred) or Java for building pipelines and automation.
- Solid understanding of ETL development, best practices, and common challenges in GCP Cloud.
- Experience with batch and streaming data ingestion and building end-to-end pipelines.
- Knowledge of Databases (SQL & NoSQL) with practical experience in at least two NoSQL databases.
- Good understanding of Data Warehouse concepts (beginner to intermediate level).
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