We are seeking an experienced Data Engineer with solid expertise in Google Cloud Platform (GCP), PySpark, and cloud-based data engineering solutions. The ideal candidate should have hands-on experience building scalable data pipelines, data warehousing solutions, and ETL/ELT processes.

Experience with AWS or Azure cloud platforms is preferred.

Key Responsibilities

- Design, develop, and maintain scalable data pipelines using PySpark.

- Build and optimize ETL/ELT workflows on Google Cloud Platform (GCP).

- Develop and manage data ingestion frameworks from multiple sources.

- Work with large-scale structured and unstructured datasets.

- Implement data transformation, cleansing, and validation processes.

- Collaborate with Data Scientists, Analysts, and Business stakeholders.

- Optimize data processing performance and cost efficiency.

- Ensure data quality, governance, and security standards.

- Support cloud migration and modernization initiatives.

📌 Gcp Data Engineer (Bengaluru)
🏢 HCLTech
📍 Bengaluru