GCP BIG DATA ARCHITECT-Chennai

• GCP Services : BigQuery, Cloud Dataflow, Pub/Sub, Dataproc, Cloud Storage.
• Data Processing : Apache Beam (batch/stream), Apache Kafka, Cloud Dataprep.
• Programming : Python, Java/Scala, SQL.
• Orchestration : Apache Airflow (Cloud Composer), Terraform.
• Security : IAM, Cloud Identity, Cloud Security Command Center.
• Containerization : Docker, Kubernetes (GKE).
• Machine Learning : Google AI Platform, TensorFlow, AutoML.
• Certifications : Google Cloud Data Engineer, Cloud Architect (preferred).
• Proven ability to design scalable and robust AI/ML systems in production, with a focus on high-performance and cost-effective solutions.
• Strong experience with cloud platforms (Google Cloud, AWS, Azure) and cloud-native AI/ML services (e.g., Vertex AI, SageMaker).
• Expertise in implementing MLOps practices, including model deployment, monitoring, retraining, and version control.
• Strong leadership skills with the ability to guide teams, mentor engineers, and collaborate with cross-functional teams to meet business objectives.
• Deep understanding of frameworks like TensorFlow, PyTorch, and Scikit-learn for designing, training, and deploying models.
• Experience with data engineering principles, scalable pipelines, and distributed systems (e.g., Apache Kafka, Spark, Kubernetes).

Essential functions

Nice to have requirements to the candidate

• Strong leadership and mentorship capabilities, guiding teams toward best practices and high-quality deliverables.
• Excellent problem-solving skills, with a focus on designing efficient, high-performance systems.
• Effective project management abilities to handle multiple initiatives and ensure timely delivery.
• Strong emphasis on collaboration and teamwork , fostering a positive and productive work environment