Design, develop, and maintain scalable ETL/ELT data pipelines and cloud-native data solutions using Python, PySpark, and Snowflake. Collaborate with cross-functional teams to optimize data performance, ensure data quality, and implement robust data governance practices.
The role involves designing, provisioning, and maintaining scalable cloud infrastructure on OCI while automating CI/CD pipelines and deployment processes. You will also implement DevSecOps practices, manage containerized applications, and lead incident response and observability efforts.
Monitor network, cloud, and security environments using SIEM tools to identify and triage operational or security incidents. Manage incident documentation through ITSM tools and escalate critical events to L2 teams while ensuring adherence to SLAs.
Design and implement data models and ETL/ELT pipelines to integrate complex commercial pharmaceutical datasets. Develop curated datasets, semantic layers, and standardized KPI logic to support field, brand, and patient analytics.
The analyst will evaluate brand, market, and patient performance while developing actionable insights from complex pharmaceutical data. They will also build dashboards and KPI frameworks to support brand, marketing, and sales teams in strategic decision-making.
The Senior Network Engineer will design, deploy, and manage Zscaler ZIA and ZPA environments while ensuring secure Zero Trust network access. They will also serve as an L2/L3 escalation point for complex network incidents and perform root cause analysis for global enterprise infrastructure.
The AI CoE Lead will drive the architecture and deployment of AI-native solutions while leading a team of Forward Deployed Engineers to embed within client workflows. They will partner with sales and technical leadership to deliver high-stakes enterprise pitches and standardize MLOps infrastructure.
Partner with engineering teams to conduct security design reviews and threat modeling to identify and mitigate risks early in the SDLC. Develop tooling, documentation, and automation to scale security reviews and provide expert guidance on secure implementation patterns.
Triage and prioritize security vulnerabilities from various sources while partnering with engineering teams to drive remediation. Develop security tooling and automation to improve vulnerability detection and reduce manual review efforts.
The role focuses on enhancing the security posture of multi-cloud environments through monitoring, alert triage, and incident response. It also involves securing AI/ML workloads and developing security automation using Python and Terraform.
