Jobs at Datamatics Technologies

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.

The Big Data Engineer designs and maintains data pipelines, ensuring data ingestion, transformation, and analytics across environments. Responsibilities include optimizing performance and collaborating with stakeholders.

The Big Data Engineer designs and maintains data pipelines, supports analytics, and ensures efficient data processing using various technologies.

Lead and operationalize enterprise data governance: establish frameworks, run workshops, build and manage business glossaries and metadata, align business and technical metadata, define policies and ownership, drive adoption through training and change management, and collaborate with data stewards and technical teams.

Design, configure, customize and deploy ServiceNow IRM, SecOps, BCM and TPRM modules. Gather requirements, build workflows, scripts and integrations, configure RBAC, support testing, deployment and post-go-live, and ensure regulatory compliance for banking/financial environments.

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.

Design, configure, customize, integrate, test, and deploy ServiceNow IRM, SecOps, BCM and TPRM solutions; translate business and regulatory requirements into workflows, scripts, RBAC and integrations; support testing, deployment, and post-go-live; produce technical documentation and ensure regulatory alignment.

Lead enterprise data modelling using Erwin to produce conceptual, logical, and physical models, establish Erwin Mart governance, align models with government information models (GIM/UDM), integrate with Microsoft Purview, and deliver Authoritative Data Register packs and approval artefacts for DB2 and Databricks target platforms.

Implement, configure and administer Microsoft Purview to catalogue metadata, manage business glossary, apply classifications and sensitivity labels, and document end-to-end lineage. Integrate Databricks Unity Catalog, IBM DB2 Warehouse, and DataStage metadata via connectors and APIs. Surface data quality metrics in Purview, maintain governance artefacts, and support DGE/DDA review and approval processes while coordinating with stakeholders for ownership and stewardship.

Design, implement, and operate an enterprise data quality framework on Databricks. Build AI-assisted profiling, a reusable PySpark Data Quality Rule Factory, automated validation/gating, cleansing and remediation pipelines, monitoring/alerting, quality metrics and reporting (Power BI), failed-record handling, and stakeholder governance support across prioritized datasets and CDEs.

Design, develop, and maintain enterprise BI solutions, ETL/ELT pipelines, data warehouses, and dashboards. Translate business needs into technical specifications, ensure data quality and governance, optimize performance, support stakeholders, troubleshoot reporting issues, and maintain documentation and standards.

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