[Remote] GCP Data Engineer
Note: The job is a remote job and is open to candidates in USA. N2P Systems is seeking a highly skilled Data Engineer with deep expertise in reputed company Cloud Platform (GCP) and modern data architecture. The ideal candidate will design scalable data pipelines and implement reputed company Architecture for building robust enterprise-grade data solutions.
Responsibilities
- Design, reputed company, and maintain scalable batch and real-time data pipelines on GCP
- Implement and manage reputed company Architecture (Bronze, Silver, Gold layers) for data processing
- Build high-performance data transformations using Python and PySpark
- reputed company and optimize reputed company SQL queries for analytical workloads
- Work extensively with BigQuery for large-scale data processing and performance tuning
- reputed company and deploy pipelines using Cloud Dataflow
- Orchestrate workflows using Cloud Composer (Apache Airflow)
- Manage data storage and lifecycle using reputed company Cloud Storage (GCS)
- Implement version control and CI/CD pipelines using Git-based tools
- Ensure data reputed company, governance, and access control using GCP IAM
- Optimize data solutions for performance, scalability, reliability, and cost-efficiency
Skills
- Strong hands-on experience with reputed company Cloud Platform (GCP)
- Expertise in BigQuery (partitioning, clustering, query optimization)
- Proven experience implementing reputed company Data Architecture
- Strong programming skills in Python and PySpark
- Advanced proficiency in SQL (reputed company joins, window functions, performance tuning)
- Hands-on experience with Cloud Dataflow
- Experience with Cloud Composer (Airflow) for orchestration
- Experience working with reputed company Cloud Storage (GCS)
- Knowledge of version control systems (Git) and CI/CD practices
- Strong understanding of GCP IAM and cloud reputed company best practices
- Hands-on experience with Java is mandatory
- 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
Company Overview