Data Engineer

Experience: 10+ Years 

Key Responsibilities 

• Design and develop scalable batch and real-time data pipelines on GCP. 

• Build and optimize ETL/ELT workflows using Dataflow and BigQuery. 

• Develop robust data processing applications using Java. 

• Implement data ingestion, transformation, validation, and monitoring frameworks. 

• Work closely with business stakeholders, architects, and analytics teams to understand data requirements. 

• Ensure high performance, scalability, security, and reliability of data platforms. 

• Optimize BigQuery performance and cost efficiency. 

• Participate in code reviews, debugging, troubleshooting, and production support activities. 

• Collaborate with cross-functional teams in Agile development environments. 

Required Skills 

• Strong experience in Google Cloud Platform (GCP). 

• Hands-on expertise in: Dataflow, BigQuery ,Java 

• Strong knowledge of data engineering concepts, ETL pipelines, and distributed data processing. 

• Experience in handling large-scale structured and unstructured datasets. 

• Familiarity with cloud-native architecture and data warehousing concepts. 

• Strong SQL and performance tuning skills. 

• Experience with CI/CD pipelines and version control systems. 

• Excellent problem-solving and communication skills. 

Good to Have:

• Experience with Pub/Sub, Cloud Composer, or Dataproc. 

• Exposure to real-time streaming pipelines. 

• Knowledge of DevOps and Infrastructure as Code practices. 

• Experience working in Healthcare or BFSI domains.