IKAI Technology Solutions | GCP Data Engineer | india
1 day ago
Company Description
iKAI Technology Solutions provides IT services to businesses globally, with a focus on revolutionizing digital operations. Operating in India, North America, Europe, and Asia-Pacific, we guide organizations through their digital transformation journey. Our commitment to continuous learning and innovation sets us apart in the fast-paced technology landscape.
Job Description:
We are looking for a skilled GCP Data Engineer to design, build, and maintain robust data pipelines and systems on the Google Cloud Platform. As a key member of our data team, you will play a critical role in managing large-scale datasets and enabling advanced analytics and machine learning capabilities.
Responsibilities:
- Design, develop, and optimize data pipelines and workflows on Google Cloud Platform (GCP).
- Build and maintain ETL processes for extracting, transforming, and loading structured and unstructured data.
- Implement and manage data storage solutions, including BigQuery, Cloud Storage, and other GCP services.
- Ensure high availability and scalability of data solutions to meet business requirements.
- Collaborate with data scientists, analysts, and stakeholders to understand data requirements.
- Monitor, troubleshoot, and enhance data pipelines and workflows for performance and efficiency.
- Develop and enforce best practices for data engineering, including security, compliance, and data governance.
- Automate manual processes and optimize data delivery.
Qualifications:
- Education: Bachelor’s degree in Computer Science, Information Technology, or related field.
- Experience: 3 years as a Data Engineer, with hands-on experience in GCP.
- Skills:
- Strong proficiency in GCP services like BigQuery, Dataflow, Pub/Sub, Cloud Storage, and Cloud Composer (Airflow).
- Expertise in Python, Java, or Scala for data pipeline development.
- Solid experience with SQL for querying and data transformation.
- Familiarity with data modeling and schema design.
- Experience with containerization tools like Docker and orchestration tools like Kubernetes is a plus.
- Knowledge of CI/CD pipelines and DevOps practices is advantageous.
Preferred Skills:
- Experience with real-time data streaming using Pub/Sub or Kafka.
- Knowledge of data security practices and regulatory compliance on cloud platforms.
- Exposure to machine learning pipelines and AI/ML tools on GCP.
- Certifications such as Google Cloud Professional Data Engineer are highly desirable.
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