KANINI is looking for a highly skilled GCP Data Engineer with solid expertise in building scalable and efficient 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
- Strong 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 environment
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
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