Description

You will design and implement scalable data pipelines and cloud-native architectures on Google Cloud Platform.

Responsibilities

• Design and implement scalable, reliable batch and real-time streaming data pipelines.
• Architect cloud-native solutions using GCP services to ensure high availability and performance.
• Develop embedded analytics platforms that deliver insights within operational workflows.
• Support machine learning workflows, including model development, deployment, and monitoring.
• Collaborate with software development teams to align applications with data and analytics architecture.
• Define and enforce architectural standards and best practices.

Required Skills

• 5+ years of experience in data architecture or related roles.
• Hands-on expertise with Google Cloud Platform (GCP).
• Deep experience with BigQuery, Cloud Storage, Pub/Sub, Dataflow, Airflow, Spanner, Bigtable, Cloud SQL, Dataproc, and Cloud Composer.
• Proficiency in building streaming pipelines using Apache Kafka and Google Cloud Dataflow.
• Strong programming skills in Python, Java, and SQL.
• Experience with containerization and orchestration using Docker and Kubernetes on GCP.
• Familiarity with infrastructure automation via Terraform or Google Cloud Deployment Manager.
• Expertise in data modeling, ETL/ELT pipelines, and data warehousing.
• Strong understanding of microservices architecture and API management.
• Google Professional Cloud Architect certification is required.

Preferred Skills

• Knowledge of Hadoop and Spark frameworks.
• Experience with embedded analytics platforms like Tableau or Power BI.
• Familiarity with ML frameworks such as TensorFlow or PyTorch.

Key Skills

Education

Any Graduate