Jobs at Datamatics Technologies

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.

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.

The Distributed Cache & DevOps Engineer provides support for distributed caching solutions, Java applications, and Kubernetes environments through troubleshooting, monitoring, and incident management.

The Data Quality Engineer will design, implement, and manage data quality frameworks within Databricks, focusing on automated profiling, rule execution, cleansing, and monitoring.

The Data Modeller will establish and manage data modelling capabilities, design registers, and align data with governance standards using Erwin Data Modeler.

The Data Catalogue Specialist will manage Microsoft Purview for metadata governance, classification, glossary management, and data lineage integration for ADC's data assets, ensuring compliance and quality.

Develop reports and dashboards in Oracle Analytics Cloud based on specifications, creating datasets, KPIs, and ensuring usability and performance optimizations.

The Data Engineer role involves developing ETL pipelines, implementing data transformations, and ensuring data availability for analytics and reporting.

Implement and configure ServiceNow IRM, SecOps, BCM and TPRM modules. Translate business and regulatory requirements into platform configurations, build workflows, scripts, RBAC, and integrations, participate in testing and deployment, and produce technical documentation while ensuring regulatory compliance and stakeholder collaboration.