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The Data Engineer designs and maintains ETL/ELT pipelines, optimizes data integration, and ensures data quality across cloud platforms. Collaborates with stakeholders for analytics initiatives.

Build, automate, and operate enterprise OCI cloud infrastructure. Provision and manage networking, compute, storage, databases, and Kubernetes. Develop IaC (Terraform), automation (Ansible, Python, Bash), and CI/CD pipelines. Implement security controls, monitoring, patching, backups, and incident response. Support migrations to OCI and assist application teams deploying on OKE, WebLogic, and Oracle DB. Contribute to cost optimization, documentation, and platform operations.

Build, manage, automate, and support enterprise OCI cloud infrastructure. Provision and configure OCI compute, storage, networking, databases, and security. Develop IaC with Terraform, automate tasks with Python/Ansible, support CI/CD pipelines, monitor environments, perform operations (patching, backups, incident resolution), assist migrations and platform modernization, and support application teams on OKE, WebLogic, and database workloads.

Build, automate, and operate enterprise Oracle Cloud Infrastructure environments. Provision OCI resources, manage networking, security, monitoring, and CI/CD. Develop Terraform modules, automate tasks with Python/Ansible, support migrations, production operations, cost optimization, and assist application teams deploying to OKE, WebLogic, and Oracle DB.

Design, provision, automate, and operate enterprise Oracle Cloud Infrastructure (OCI) environments using IaC, containers, CI/CD, monitoring, and security controls. Support migrations, application deployments (OKE/WebLogic/DB), incident/change management, cost optimization, and operational documentation.

Support data science team on demand forecasting: prepare and validate data, execute and retrain forecasting models, monitor performance, automate pipelines, and produce reports and visualizations for stakeholders.

Support development, execution, and maintenance of demand forecasting models: prepare and clean data, execute and retrain models, monitor performance, automate pipelines, produce reports and visualizations, and collaborate with global stakeholders to improve forecasting accuracy and processes.

Support demand forecasting and predictive analytics by preparing and validating data, executing and retraining models, monitoring performance, automating workflows, and producing reports and visualizations under senior guidance.

Design, build, and maintain scalable ETL/ELT data pipelines (Azure Data Factory, Databricks). Optimize workflows for cost, speed, and scalability; ensure data quality, lineage, and security; establish CI/CD, monitoring, documentation; apply best practices (Git, code reviews, data testing, partitioning, incremental loads); integrate streaming systems (Kafka, Kinesis).

The role involves providing technical support for distributed caching solutions, analyzing Java applications, and managing Kubernetes operations including deployments and monitoring.