Role Overview:

KANINI is looking for a highly skilled GCP Data Engineer with solid expertise in building scalable and productive data solutions on Google Cloud Platform. The ideal candidate should have hands-on experience in developing robust ETL pipelines, working with BigQuery, and implementing enterprise-grade data warehousing solutions.

Key Responsibilities:
Design, develop, and maintain scalable ETL pipelines on Google Cloud Platform (GCP)
Develop and optimize data processing workflows using Cloud Dataflow (Java)
Build and manage large-scale datasets using BigQuery
Implement efficient and reliable data warehousing solutions
Perform data ingestion, transformation, and validation for structured and unstructured data
Optimize data pipelines for performance, scalability, and cost-efficiency
Collaborate with cross-functional teams to understand data requirements and deliver solutions
Ensure data quality, integrity, and governance across all data processes
Troubleshoot and resolve data-related concerns in a timely manner

Required Skills and Experience:




Strong hands-on experience in Google Cloud Platform (GCP)
Expertise in Cloud Dataflow with Java
Robust experience in BigQuery for large-scale data processing
Solid understanding of ETL concepts and pipeline development
Hands-on experience in Data Warehousing concepts and implementation
Experience in performance tuning and optimization of data pipelines
Strong problem-solving and analytical skills
Ability to work in a fast-paced, collaborative workplace

Why Join KANINI?
People-first culture with diversity and inclusion at its core
Recognized as a Great Place to Work
Opportunity to work on cutting-edge cloud and data technologies
Career growth, mentorship, and learning opportunities
Exposure to enterprise-scale projects across multiple domains

Ready to Make an Impact?

Join us to build scalable and future-ready data solutions. Be part of a team that values innovation, collaboration, and excellence.

📌 Data Engineer Pune
🏢 kanini software solutions
📍 Pune