As a Data Engineer, you will play a pivotal role in designing and implementing scalable data solutions that power critical business decisions. Your expertise in Google Cloud Platform (GCP), BigQuery, and Airflow, combined with strong programming skills in Java or Python, will help us deliver cutting-edge analytics for industries like Healthcare, BFSI, and Retail.
Responsibilities:
Design and develop robust data pipelines and workflows using GCP services.
- Implement ETL processes leveraging BigQuery and Airflow for productive data orchestration.
- Collaborate with cross-functional teams to understand data requirements and deliver high-quality solutions.
- Optimize data models and queries for performance and scalability.
- Ensure data integrity, security, and compliance across all platforms.
- Support migration and integration of data systems into cloud environments.
- Partner with stakeholders to enable advanced analytics and reporting capabilities.
- Troubleshoot and resolve complex data engineering challenges proactively.
What You Bring
- 6+ years of experience in Data Engineering with strong expertise in GCP, BigQuery, and Airflow.
- Proficiency in Java or Python for building scalable solutions.
- Hands-on experience with cloud-based data architecture and ETL frameworks.
- Exposure to Healthcare domain (preferred), BFSI or Retail (optional).
- Strong understanding of Agile delivery methodologies.
- Excellent communication, problem-solving, and stakeholder management skills.
📌 Gcp Data Engineer (Pune)
🏢 kanini software solutions
📍 Pune
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