Data Engineer

Cisco; Telangana; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Cisco is seeking a Data Engineer to design and implement scalable data pipelines on AWS, using Python for ETL and ML workflows. You will integrate Web Services and APIs, build data models, and optimize storage and processing.

Collaboration with data scientists and engineers is essential to deliver high-quality data solutions. 4+ years of experience, strong AWS expertise, and a solid grounding in data warehousing and governance will help you thrive in this role.

Qualifications

• Proven experience in Data Engineering roles, with a strong portfolio of data pipeline development.
• Proficiency in Python for data manipulation, automation, and scripting.
• 4 years of professional experience in data engineering or a similar role.
• Extensive experience with cloud platforms, particularly AWS, including services relevant to data storage, processing, and analytics.
• Solid understanding and practical experience with designing and consuming Web Services and APIs.
• Familiarity with Micro Services architecture and its implications for data integration.
• Experience with relational and NoSQL databases.
• Strong understanding of data warehousing concepts and best practices.
• Ability to work independently and as part of a collaborative team.
• Strong communication and interpersonal skills.

Responsibilities

• Design, develop, and implement scalable and efficient data pipelines using AWS services (e.g., S3, EC2, ECS, Aurora).
• Write high-quality, maintainable Python code for data extraction, transformation, and loading (ETL) and Machine learning / AI (LLM) processes.
• Develop and integrate with Web Services, Micro Services, and APIs to ingest and expose data from various internal and external sources.
• Implement robust Data Engineering solutions, including data modeling, database design, and data warehousing.
• Optimize data storage, retrieval, and processing for performance and cost-efficiency on AWS.
• Monitor and troubleshoot data pipeline issues, ensuring data quality, integrity, and availability.
• Collaborate with data scientists, analysts, and software engineers to understand data requirements and deliver solutions.
• Contribute to the development and enforcement of data governance policies and standards.
• Stay up-to-date with emerging technologies and industry trends in Data Engineering, cloud computing, and data management.

Skills

Python

Data pipelines

ETL

AWS

Web Services

APIs

Microservices

Relational databases

NoSQL databases

Data warehousing

Tools

AWS

Job description

Job Description:

Meet the Team

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 identify opportunities for sales and CX to improve overall product experience.

Key Aspects Include

• Collection of performance and operational data from customer product deployment and management platforms.
• Enabling analytics to understand feature utilization and customer satisfaction.
• Supporting proactive risk mitigation campaigns and customer enablement through targeted communications.
• Secure collection and handling of telemetry data with customer privacy considerations.

Your Impact

• Design, develop, and implement scalable and efficient data pipelines using AWS services (e.g., S3, EC2, ECS, Aurora).
• Write high-quality, maintainable Python code for data extraction, transformation, and loading (ETL) and Machine leaning / AI (LLM) processes.
• Develop and integrate with Web Services, Micro Services, and APIs to ingest and expose data from various internal and external sources.
• Implement robust Data Engineering solutions, including data modeling, database design, and data warehousing.
• Optimize data storage, retrieval, and processing for performance and cost-efficiency on AWS.
• Monitor and troubleshoot data pipeline issues, ensuring data quality, integrity, and availability.
• Collaborate with data scientists, analysts, and software engineers to understand data requirements and deliver solutions.
• Contribute to the development and enforcement of data governance policies and standards.
• Stay up-to-date with emerging technologies and industry trends in Data Engineering, cloud computing, and data management.

Minimum Qualifications

• Proven experience in Data Engineering roles, with a strong portfolio of data pipeline development.
• Proficiency in Python for data manipulation, automation, and scripting.
• 4 years of professional experience in data engineering or a similar role.
• Extensive experience with cloud platforms, particularly AWS, including services relevant to data storage, processing, and analytics.
• Solid understanding and practical experience with designing and consuming Web Services and APIs.
• Familiarity with Micro Services architecture and its implications for data integration.
• Experience with relational and NoSQL databases.
• Strong understanding of data warehousing concepts and best practices.
• Ability to work independently and as part of a collaborative team.
• Strong communication and interpersonal skills.

Preferred Qualifications

• Worked on at least one Machine Learning data pipeline
• Worked on at least one LLM based project
• Usage of large language models for development
• Understanding Text Classification/NLP
• Understanding of Tokenization and vectorization
• Understanding of Statistical analysis of data
• Excellent problem-solving and analytical skills.

#WeAreCisco (This is the Standard and cannot be changed)

#WeAreCisco where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all.

Our passion is connection—we celebrate our employees’ diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage. Our technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best.

We understand our outstanding opportunity to bring communities together and at the heart of that is our people. One-third of Cisconians collaborate in our 30 employee resource organizations, called Inclusive Communities, to connect, foster belonging, learn to be informed allies, and make a difference. Dedicated paid time off to volunteer—80 hours each year—allows us to give back to causes we are passionate about, and nearly 86% do!

Our purpose, driven by our people, is what makes us the worldwide leader in technology that powers the internet. Helping our customers reimagine their applications, secure their enterprise, transform their infrastructure, and meet our sustainability goals is what we do best. We ensure that every step we take is a step towards a more inclusive future for all. Take your next step and be you, with us!

Why Cisco?

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.

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.

We are Cisco, and our power starts with you.

Requirements: