IKAI Technology Solutions | GCP Data Engineer | delhi

1 week ago

delhi, India IKAI Technology Solutions Full time
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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