GCP Data engineer
Category: Banking and Finance
Experience:5-14 years
Location:Gurugram, Noida, Bengaluru, Hyderabad, Mumbai, Pune
Your team
Join a prestigious global organization with a 50-year legacy, collaborating with some of the world’s leading enterprises. As India’s largest multinational business group, they leverage the expertise of over 500,000 highly skilled consultants across 46+ countries. Renowned for excellence in Data & Analytics, Capital Markets, and Post Trade services, the organization continues to shape the future of global business solutions through innovation, industry leadership, and an unwavering commitment to quality.
Your job
- You will design and develop scalable data pipelines using GCP.
- You should build and optimize BigQuery solutions for large-scale data processing and analytics.
- You will develop distributed data processing workflows using Dataproc and Spark.
- Need to create and manage automated workflows using Apache Airflow.
- Must design and implement robust ETL/ELT pipelines for data ingestion and transformation.
Capabilities
- You should have 5–14 years of experience in Data Engineering, with hands-on experience in GCP data services and cloud-based data platforms.
- You must have strong expertise in Google Cloud Platform (GCP) and data engineering to design, develop, and maintain scalable data solutions.
- You must have strong experience with BigQuery for data warehousing, data analysis, query development, and performance optimization.
- Hands-on experience with Dataproc and distributed data processing technologies such as Apache Spark and Hadoop.
- Strong experience with Apache Airflow for workflow orchestration, scheduling, monitoring, and automation of data pipelines.
Qualifications
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.