Note: The job is a remote job and is open to candidates in USA. E-Solutions is a technology and workforce solutions company delivering digital engineering, AI transformation, data, cloud, and automation services. The company is seeking a GCP Data Engineer to design, build, and maintain Google Cloud data pipelines and architectures that support analytics, reporting, and AI initiatives. The role also focuses on ETL workflows, data quality, security, performance optimization, troubleshooting, and collaboration with cross-functional teams.
Responsibilities
- Design, build, and maintain data pipelines and architectures on Google Cloud Platform, supporting analytics, reporting, and AI-driven initiatives
- Implementing ETL processes, optimizing data storage and retrieval, collaborating with data analysts and data scientists, and ensuring data quality, reliability, and security
- Work closely with cross-functional teams to understand business requirements, translate them into scalable data solutions, and continuously improve performance and cost efficiency
- Monitoring data workflows, troubleshooting issues, and adhering to best practices for cloud-native data engineering
Skills
- Strong data engineering skills, including experience designing and implementing scalable data pipelines and data integration solutions
- Proficiency in data modeling and data warehousing concepts to support reporting, analytics, and high-performance storage structures
- Hands-on experience with Extract Transform Load (ETL) processes, including building, scheduling, and monitoring end-to-end workflows
- Ability to work with data analytics teams to enable self-service analytics, dashboards, and data-driven decision-making
- Practical experience with Google Cloud Platform (e.g., BigQuery, Cloud Dataflow, Pub/Sub, Cloud Storage) or similar cloud data services
- Proficiency in SQL and one or more programming languages commonly used in data engineering (such as Python or Java)
- Familiarity with CI/CD practices, version control, and infrastructure-as-code tools for managing data environments
- Strong problem-solving skills, attention to detail, and ability to work effectively in a remote, cross-functional team environment
- Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience
- Experience in high-growth, global, or enterprise environments and knowledge of data security, privacy, and compliance best practices
Benefits
- Full-time remote role
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