Data Engineer- 4-6 years of of experience in Data Warehousing (DWH), Expertise in cloud data platforms and database technologies

Meet the Team

Join the Cisco IT Data team, where we are passionate about leveraging technology and AI to deliver impactful business outcomes. Our highly collaborative and innovative team delivers robust end-to-end platforms and services, enabling a variety of competitive Sales insights & solutions including financial management reporting for Cisco. We foster a creative, fun, and supportive culture where you are encouraged to explore new ideas and drive meaningful impact.

Your Impact

As a Data Engineering, you will develop, and maintain scalable data processing platforms supporting Corporate Functional Data IT. You will collaborate closely with Senior data engineers to ensure delivery of quality code with unit test result and unit test report. You will be part of operation team who are responsible for maintaining and optimizing of multiple data pipelines, integrate advanced technology for faster insights, and serve as a go-to expert for data analytics and modeling. You will also get an opportunity to work on automation framework development and maintenance.

Key Responsibilities

• Data availability and Architecture Acceleration: Responsible for developing data integration and implementation solutions that ensure data availability.

- Project Delivery: Involved in on-time delivery of projects.

- Software Development Lifecycle Participation: Engages in the full software lifecycle, including development, testing, and deployment of data-related applications, which may involve databases in on-premises or cloud environments.

- Innovation and Transformation: Has opportunities to innovate and transform data infrastructure and processes to improve efficiency and performance. Build and optimize big data pipelines.

- Cross-Functional Collaboration: Works closely with various teams such as engineering and platform teams to align operational goals with technical execution.

- Data Quality: Contributes to data quality and compliance, including cleansing and scrubbing of data, data integrations and data quality framework.

- Analytical Approach: Applies analytic techniques and understanding of business problems and algorithms to validate, impute and transform.

Minimum Qualifications