JOB SUMMARY: This role is part of a broader data engineering team who develop data pipelines, integrations, and data products to meet internal operational and analytic use cases. The Sr. Software Engineer - Data will partner with other engineers, architects, analysts and product managers to implement scalable, sustainable solutions. They work on technical assignments that are moderately difficult and require considerable judgment and initiative. They must understand implications of work and make recommendations for solutions. They normally receive little instruction on daily work and only require general instructions on newly introduced assignments.
MAIN RESPONSIBILITIES:Technical Engineering Services - this team operates in an Azure + Databricks Lakehouse. The role requires the following technical skill set Cloud data engineering experience, including:
This team leads the enterprise in platform and process. Communication of architecture, process, and implementation is expected to elevate all teams. This individual needs to be able to:
Contributes to emerging technologies to deliver business goals and understands current technology that supports business goals. Understands system protocols, how systems operate and data flows. Expected to independently develop a full software stack. Understands the building blocks, interactions, dependencies, and tools required to complete software and automation work. Aware of current technology benefits. Identify and design solutions to potential data processes that can be improved with automation or optimized with current technical best practices. Identify use cases and design technical solutions to include Agentic AI application
MAIN RESPONSIBILITIES:Innovation - this group leverages industry leading platforms and processes. This individual is expected to:
For applications and inquiries, contact: hirings@openkyber.com
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