GCP Data Engineer + Java
KANINI is seeking a highly skilled Data Engineer with deep expertise in Google Cloud Platform (GCP) and modern data architecture. The ideal candidate will have hands-on experience designing scalable data pipelines, implementing Medallion Architecture, and building robust enterprise-grade data solutions. This role requires strong technical proficiency in BigQuery, PySpark, Dataflow, and Airflow, along with a solid understanding of cloud data governance, performance optimization, and CI/CD practices.
Key Responsibilities
- Design, develop, and maintain scalable batch and real-time data pipelines on GCP
- Implement and manage Medallion Architecture (Bronze, Silver, Gold layers) for data processing
- Build high-performance data transformations using Python and PySpark
- Develop and optimize complex SQL queries for analytical workloads
- Work extensively with BigQuery for large-scale data processing and performance tuning
- Develop and deploy pipelines using Cloud Dataflow
- Orchestrate workflows using Cloud Composer (Apache Airflow)
- Manage data storage and lifecycle using Google Cloud Storage (GCS)
- Implement version control and CI/CD pipelines using Git-based tools
- Ensure data security, governance, and access control using GCP IAM
- Optimize data solutions for performance, scalability, reliability, and cost-efficiency
Required Skills & Experience
- Strong hands-on experience with Google Cloud Platform (GCP)
- Expertise in BigQuery (partitioning, clustering, query optimization)
- Proven experience implementing Medallion Data Architecture
- Strong programming skills in Python and PySpark
- Hands-on exposure on Java
- Advanced proficiency in SQL (complex joins, window functions, performance tuning)
- Hands-on experience with Cloud Dataflow
- Experience with Cloud Composer (Airflow) for orchestration
- Experience working with Google Cloud Storage (GCS)
- Knowledge of version control systems (Git) and CI/CD practices
- Strong understanding of GCP IAM and cloud security best practices
Preferred Qualifications
- Experience working with large-scale enterprise data platforms
- Knowledge of data warehousing and data lake concepts
- Familiarity with real-time streaming frameworks
- Experience in data governance and data quality frameworks
- Exposure to Agile/Scrum methodologies
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