Data Engineer

<h2><span style="color:#000000"><b>Meet the Team</b></span></h2><p><span style="color:#000000">Enterprise Data Foundation telemetry, as part of Cisco's telemetry data offerings, enables enhanced visibility of data for product adoption, up sale and cross sell across Cisco's enterprise portfolio. It collects and streams telemetry data from various Cisco products, such as Catalyst Center, Cisco Firewall, WebEx, Data Center product to name a few to provide insights into device performance, usage, and potential risks. This telemetry data helps customers and Cisco proactively find opportunities for sales and CX to improve overall product experience.</span></p><h2><span style="color:#000000"><b>Your Impact</b></span></h2><ul><li><span style="color:#000000">Design, develop, and implement scalable and efficient data pipelines using AWS services (e.g., S3, EC2, ECS, Aurora).</span></li><li><span style="color:#000000">Write high-quality, maintainable Python code for data extraction, transformation, and loading (ETL) and Machine leaning / AI (LLM) processes.</span></li><li><span style="color:#000000">Develop and integrate with Web Services, Micro Services, and APIs to ingest and expose data from various internal and external sources.</span></li><li><span style="color:#000000">Implement robust Data Engineering solutions, including data modeling, database design, and data warehousing.</span></li><li><span style="color:#000000">Optimize data storage, retrieval, and processing for performance and cost-efficiency on AWS.</span></li><li><span style="color:#000000">Monitor and troubleshoot data pipeline issues, ensuring data quality, integrity, and availability.</span></li><li><span style="color:#000000">Collaborate with data scientists, analysts, and software engineers to understand data requirements and deliver solutions.</span></li><li><span style="color:#000000">Contribute to the development and enforcement of data governance policies and standards.</span></li><li><span style="color:#000000">Stay up to date with emerging technologies and industry trends in Data Engineering, cloud computing, and data management.</span></li></ul><h2><span style="color:#000000"><b>Minimum Qualifications</b></span></h2><ul><li><span style="color:#000000">Proven experience in Data Engineering roles, with a solid portfolio of data pipeline development.</span></li><li><span style="color:#000000">Proficiency in Python for data manipulation, automation, and scripting.</span></li><li><span style="color:#000000">7+ years of professional experience in data engineering or a similar role.</span></li><li><span style="color:#000000">Extensive experience in Data Warehouse platforms like Snowflake or BigQuery<b>.</b></span></li><li><span style="color:#000000">Extensive experience with cloud platforms, particularly AWS, including services relevant to data storage, processing, and analytics.</span></li><li><span style="color:#000000">Solid understanding and practical experience with designing and consuming Web Services and APIs.</span></li><li><span style="color:#000000">Familiarity with Micro Services architecture and its implications for data integration.</span></li><li><span style="color:#000000">Experience with relational and NoSQL databases.</span></li><li><span style="color:#000000">Strong understanding of data warehousing concepts and best practices.</span></li><li><span style="color:#000000">Ability to work independently and as part of a collaborative team.</span></li><li><span style="color:#000000">Strong communication and interpersonal skills.</span></li></ul><h2><span style="color:#000000"><b>Preferred Qualifications</b></span></h2><ul><li><span style="color:#000000">Worked on at least one Machine Learning data pipeline</span></li><li><span style="color:#000000">Worked on at least one LLM based project</span></li><li><span style="color:#000000">Usage of large language models for development</span></li><li><span style="color:#000000">Understanding Text Classification</span></li><li><span style="color:#000000">Understanding of Tokenization and vectorization</span></li><li><span style="color:#000000">Understanding of Statistical analysis of data</span></li><li><span style="color:#000000">Excellent problem-solving and analytical skills.</span></li></ul><br /><h1>Why Cisco? </h1><p>At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.</p><p>Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. </p><p>We are Cisco, and our power starts with you. </p><br /><p><b><u>Disclaimer</u></b></p><p>To ensure that we hire the best talent in the right way, we follow a strict hiring process and recently, Cisco has been made aware of fraudulent recruiters claiming to be from the company. Please be advised that any communication from Cisco about careers will:</p><ul><li>be in direct response to an application you have submitted through the company career site</li><li>begin with screening or an interview</li><li>originate from a Cisco email address, and</li><li>be conducted across email, phone, or WebEx</li></ul><p> </p><p>Cisco will never make a job offer without conducting an interview process or ask you for money in any way. If you have been requested to apply for a role or have received an offer from a site other than <a target="_blank" href="https://careers.cisco.com/"><span style="color:#0875e1"><u>https://careers.cisco.com</u></span></a> or <u>cisco.wd5.myworkday.com</u>, do not provide any personal identifying information, including your Aadhaar or other personal identifying number, birth certificate, banking information, driver's license, or passport.</p><p><br />If you are the target of a recruiting scam, consider filing a report with your local law enforcement authorities. Cisco bears no responsibility, and cannot be held liable, for any claims, damages, expenses, or other inconvenience resulting from or in any way connected to recruiting scams.</p><br />