We are seeking an experienced GCP Data Engineer with strong expertise in designing, developing, and maintaining scalable data pipelines on Google Cloud Platform (GCP). The ideal candidate should have hands-on experience with BigQuery, Dataproc, Apache Airflow, PySpark, and Python for building enterprise-grade data solutions supporting analytics, reporting, and data warehousing initiatives.
Key Responsibilities
- Design, develop, and maintain scalable ETL/ELT data pipelines on GCP.
- Build and optimize data solutions using BigQuery for large-scale analytics and reporting.
- Develop batch and streaming data processing applications using PySpark on Dataproc.
- Create, schedule,
and monitor workflows using Apache Airflow (Cloud Composer).
- Integrate data from multiple sources including databases, APIs, cloud storage, and enterprise applications.
- Implement data quality checks, validation frameworks, and monitoring solutions.
- Optimize query performance, partitioning, clustering, and cost management in BigQuery.
- Collaborate with Data Architects, Data Analysts, and Business stakeholders to understand requirements.
- Troubleshoot production issues and ensure data pipeline reliability and performance.
- Follow CI/CD, DevOps, and Agile best practices in data engineering projects.
📌 Face To Face Discussion GCP Data Engineer @ Bangalore on 19-Sep-26 (Bengaluru)
🏢 HCLTech
📍 Bengaluru
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