Datamatics Technologies

65 Total Employees
Year Founded: 2016

Jobs at Datamatics Technologies

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3 Days AgoSaved
In-Office
Mumbai, Maharashtra, IND
Artificial Intelligence • Information Technology • Software • Analytics
Develop, maintain, and optimize enterprise Power BI dashboards and reports, primarily in Power BI Report Server environments. Responsibilities include DAX and Power Query development, data modeling, SQL querying, report performance optimization, row-level security, testing, troubleshooting, deployment, migration, documentation, and production support. The role also involves integrating enterprise data sources and maintaining reporting standards, themes, templates, and governance practices.
3 Days AgoSaved
In-Office
Mumbai, Maharashtra, IND
Artificial Intelligence • Information Technology • Software • Analytics
Build and optimize scalable data ingestion, transformation, and consumption pipelines on an on-premises lakehouse platform. Develop Spark-based ETL/ELT workloads, Apache Iceberg data models, and Informatica integration workflows. Enable analytics through Denodo, Starburst, and Dremio while implementing data quality, governance, metadata, security, and validation controls. Support batch and near-real-time processing, platform deployment, migration, testing, production rollouts, and performance optimization.
4 Days AgoSaved
In-Office
Mumbai, Maharashtra, IND
Artificial Intelligence • Information Technology • Software • Analytics
Deploys, configures, administers, and supports an on-premises enterprise data platform across development, QA, and production environments. Manages MinIO, Apache Iceberg, Starburst or Dremio, Spark, Informatica, Linux, VMware, containers, CI/CD, security integrations, monitoring, backups, disaster recovery, and platform reliability. Troubleshoots infrastructure and connectivity issues while collaborating with infrastructure, security, and application teams.
6 Days AgoSaved
In-Office
Mumbai, Maharashtra, IND
Artificial Intelligence • Information Technology • Software • Analytics
Leads the architecture, development, and delivery of cloud-native and generative AI solutions. Responsibilities include designing GCP and BigQuery platforms, building Python and FastAPI backend services, integrating OpenAI APIs and LLMs, mentoring engineering teams, conducting technical reviews, and overseeing software delivery, security, scalability, CI/CD, testing, and production support.