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Develop a policy engine to proactively identify and address production issues related to database setup and connectivity problems. Responsibilities include reading values from Kafka and Cosmos, querying Elastic Search clusters, creating APIs, and designing modular components for data retrieval.

The Data Architect will support and enhance Data & Analytics platforms, focusing on data movement and database technologies for analytics and ML/AI. Responsibilities include identifying performance bottlenecks, leading architectural development, designing end-to-end solutions, collaborating with various teams, and ensuring project alignment with best practices.

The job involves maintaining and writing new backend services, developing server-side logic, and ensuring high performance for API requests. The role requires integrating frontend elements into applications and writing reusable, testable code, while having some understanding of frontend technologies.

As an SAP EWM Consultant at tekHouse, you will implement, configure, and test SAP EWM systems for telecommunications clients, ensure systems address IT needs, document implementation phases, and provide technical support and training to clients.

The Sr Software Engineer is responsible for analyzing, designing, developing, and implementing software applications, including defining software requirements, testing, managing user support, and editing original applications. This role involves interaction with technical teams and clients and may focus on various areas such as databases, networking, and user training.

The role involves designing and implementing SAP PTM/MM/PP solutions for clients, collaborating with various teams, and supporting the project lifecycle from planning to deployment. Responsibilities include creating specifications, delivering training, troubleshooting issues, and staying updated on SAP trends.

The Senior Data Scientist will lead predictive modeling projects to solve complex business problems by processing large data streams in a distributed environment. Responsibilities include developing proprietary algorithms, providing actionable insights, and mentoring other Data Scientists while collaborating with business partners.