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HireClout
Our client is a leading member of the cloud cybersecurity community.
What You Will Be Doing
- Build and maintain the data platform and infrastructure to enable data transformation, machine learning workflows, and analytics.
- Design and implement efficient ELT pipelines, enhance data transformations, and manage data movement across systems using event-driven architectures.
- Perform ML model training, fine-tune large language models (LLMs), and establish ML Ops best practices.
- Evaluate and recommend technologies to improve scalability and performance, optimizing tools like Kafka, Apache Hudi, StarRocks, Trino, and more.
- Work closely with data scientists, engineers, and stakeholders to support domain-specific products and applications.
- Contribute to maintaining a highly available, secure, and scalable system on AWS, leveraging Kubernetes and other cloud-native tools.
What You Will Need
- Strong generalist with hands-on experience in data engineering, machine learning, and infrastructure.
- Proficient in Golang and Python, with a deep understanding of event-driven microservices architectures.
- Expertise in Kafka, Postgres, and building ELT pipelines. Familiarity with tools like AWS Glue, Dagster, DBT, Clickhouse, and Apache Superset is a plus.
- Solid experience in cloud environments, preferably AWS, with containerized applications using Kubernetes.
- Knowledge of modern data architectures, including lakehouses and real-time data processing with tools like Apache Hudi.
- Experience with ML Ops, including model training, deployment, and fine-tuning.
Why Us
Benefits and Perks:
- Competitive Salary : $180,000 – $250,000 per Year
- Full Health, Vision, and Dental Coverage
Applicants must be currently authorized to work in the United States on a full-time basis now and in the future.
This position does not offer sponsorship.
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REF: JOB-4406