Job Description
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 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.
- Cross-Functional Collaboration: Works closely with various teams such as engineering and platform teams to align operational goals with technical execution.
Minimum Qualifications
- Bachelor’s degree in engineering, Technology, or a related field.
- Collage pass out having good understanding of Data Warehousing (DWH), Data transformation and pipeline.
- Good understanding in cloud data platforms and database technologies: Preferably in Snowflake
- Good understanding with ETL/ELT tools: Informatica, DBT (Preferably).
- Good understanding with data streaming technologies: Kafka
- Hands-on scripting and programming skills: Unix shell Script, Python, SQL
- Good understanding of Enterprise AI integrations : MCP Server, RAG
Preferred Qualifications
- Understanding the real-time data and stream processing systems.
- Familiarity with data visualization tools and techniques.
- Knowledge of data governance, security, and compliance practices is an added advantage.
- Exposure to AI/ML frameworks and technologies in the data domain (LLMs, predictive/prescriptive analytics, etc.) is an added advantage.
- Good team player with strong communication skills.
