Victrix Systems and Labs

4 weeks ago

Any Location, IN Victrix Systems & Labs Full time

Job Title : GCP Cloud Data Engineer

Location : Remote

Experience : 2 to 7 years

Job Description :


We are seeking a talented Cloud Data Engineer to join our team on a remote basis.


The ideal candidate will have a strong background in cloud migration, building ETL pipelines, data integrations, and the development of Operational Data Stores (ODS) and Data Warehouses (DW).

If you are passionate about leveraging cutting-edge technologies to solve complex data challenges, we want to hear from :

- Cloud Migration: Lead the migration of on-premises data systems to cloud-based solutions, ensuring scalability, reliability, and efficiency.

- ETL Pipeline Development: Design, develop, and maintain robust Extract, Transform, Load (ETL) pipelines to process large volumes of data from various sources into our data ecosystem.

- Data Integration: Implement seamless integration between different data sources and platforms, enabling unified access to critical business data.

- Operational Data Store (ODS) and Data Warehouse (DW) Development: Architect and build ODS and DW solutions to support analytics, reporting, and decision-making processes.

- Big Data Technologies: Utilize advanced technologies such as BigQuery, Kafka, Google Cloud Storage (GCS), and REST APIs to drive data engineering initiatives forward.

- Performance Optimization: Continuously optimize data pipelines and storage solutions for improved performance, reliability, and cost-effectiveness.

- Collaboration: Work closely with cross-functional teams including data scientists, analysts, and software engineers to understand data requirements and deliver solutions that meet business :


- Bachelor's degree or higher in Computer Science, Engineering, or a related field.


- Proven experience in cloud data engineering, with a focus on cloud migration, ETL pipeline development, and data integration.

- Strong proficiency in cloud platforms such as Google Cloud Platform (GCP), particularly BigQuery, Google Cloud Storage (GCS), and related services.

- Hands-on experience with streaming data technologies like Kafka for real-time data processing and analysis.

- Familiarity with RESTful APIs for integrating data from external sources into internal systems.

- Solid understanding of data modeling concepts and experience with relational and non-relational databases.

- Excellent problem-solving skills and the ability to thrive in a fast-paced, dynamic environment.

- Strong communication skills with the ability to collaborate effectively with team members Qualifications :

- Experience with containerization technologies such as Docker and orchestration tools like Kubernetes.

- Certification in Google Cloud Platform or relevant cloud technologies.

- Knowledge of machine learning concepts and experience with ML pipeline development is a plus.

- Familiarity with agile methodologies and DevOps practices for continuous integration and deployment (CI/CD).

- Previous experience in a remote work environment or distributed team setup. (ref:hirist.tech)

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