Data Engineering Application Developer - Python, API, Snowflake/Redshift, AWS services, Tableau/PowerBI, React/Angular. HTML, CSS, GitHub - 7 to 10 years - Bangalore
Our team builds and supports data analytics, reporting, and custom application solutions for engineering, SRE/XRE, Product, and other cross-functional stakeholders.
We work across data platforms, cloud, backend services, APIs, dashboards, and web portals, with a strong focus on converting complex data into actionable insights and usable solutions. The team also works on AI-enabled analytics and GenAI-assisted development, using modern tools and approaches to improve delivery speed and user experience.
The environment is highly collaborative and fast-paced, with significant interaction with senior stakeholders. Team members are encouraged to take ownership, bring new insights, improve existing solutions, and quickly turn business needs into scalable, production-ready outcomes.
Role Overview:We are looking for a Senior Software Engineer – Data Analytics and Application Development who can independently design and deliver end-to-end analytics and application solutions.
This is a hands-on role requiring strong experience across data platforms, SQL, Python, AWS, APIs, visualization, and web application development. The individual will work directly with stakeholders to understand business problems, interpret data, and rapidly translate requirements into scalable dashboards, portals, applications, automation, and analytical solutions.
The role also requires strong ownership, stakeholder management, and the ability to use GenAI and AI-assisted development tools to accelerate delivery while maintaining quality, security, and maintainability.
Key Responsibilities:- Partner with stakeholders to understand business and engineering requirements and translate them into scalable technical and analytical solutions.
- Design and develop data analytics solutions, dashboards, web portals, applications, APIs, and automation tools.
- Work hands-on with SQL, Python, Redshift/Snowflake/Postgres, AWS services, and modern web technologies such as React/Angular.
- Build and enhance data pipelines, backend services, frontend experiences, and visualization solutions using Tableau/Power BI or custom interfaces.
- Own solutions end-to-end, including design, development, testing, deployment, production support, and continuous improvement.
- Drive time-sensitive requirements with speed, independently turning ambiguous asks into usable solutions with minimal guidance.
- Apply GenAI/LLMs and AI-assisted development tools to improve engineering productivity and accelerate solution delivery.
- Ensure solutions are scalable, reliable, secure, maintainable, and provide a strong user experience.
- Collaborate effectively with senior stakeholders, manage priorities, communicate risks and progress, and support planning and execution.
- Provide technical guidance, code/design reviews, mentoring, and proactively identify opportunities to improve or redesign existing solutions.
- 8+ years of relevant proven experience in software engineering, data engineering, analytics application development, or a related area.
- Strong hands-on expertise in SQL and Python, including working with sophisticated datasets and building scalable analytical solutions.
- Experience with Redshift, Snowflake, PostgreSQL, or similar data warehouse/database platforms.
- Hands-on experience with AWS services such as S3, Lambda, Glue, API Gateway, CloudFront, ECS, or equivalent cloud technologies.
- Strong experience in web/application development, including APIs and frontend technologies such as React/Angular, HTML, and CSS.
- Experience building dashboards, analytical applications, and visualization solutions using Tableau, Power BI, or custom interfaces.
- Working experience with GitHub, GitHub Actions, CI/CD, testing, and production-grade software development practices.
- Proven ability to independently gather and articulate requirements, understand the underlying data and business context, and convert ambiguous needs into working solutions.
- Strong stakeholder management, communication, prioritization, and problem-solving skills, including interaction with senior stakeholders.
- Ability to own time-sensitive deliverables end-to-end and deliver high-quality solutions with minimal guidance.
- Working knowledge of Machine Learning, Generative AI, LLMs, prompt engineering, or AI-enabled analytics solutions.
- Hands-on experience using AI-assisted development tools such as Cursor, Claude, GitHub Copilot, or similar tools to improve development productivity.
- Experience with Retrieval-Augmented Generation (RAG), vector databases, or LLM-based analytics/application use cases.
- Experience designing reusable frameworks, self-service analytics capabilities, or internal developer/analytics platforms.
- Exposure to observability, monitoring, production support, root-cause analysis, and performance optimization for data or application platforms.
- Experience driving modernization or redesign of existing applications/analytics solutions and introducing innovative approaches.
- Demonstrated experience mentoring engineers, influencing technical direction, and contributing to technical roadmaps.
- Strong product sense and UX awareness, with the ability to connect technical solutions to user adoption, usability, and business outcomes.
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.
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.
Skills Required
- 8+ years relevant experience in software engineering, data engineering, or analytics application development
- Strong hands-on expertise in SQL
- Strong hands-on expertise in Python
- Experience with Redshift, Snowflake, or PostgreSQL
- Hands-on experience with AWS services (S3, Lambda, Glue, API Gateway, CloudFront, ECS)
- Web/application development experience including APIs and frontend technologies (React or Angular, HTML, CSS)
- Experience building dashboards and visualization solutions using Tableau or Power BI (or custom interfaces)
- Working knowledge of GitHub, GitHub Actions, CI/CD, testing, and production-grade development practices
- Proven ability to gather requirements, interpret data, and convert ambiguous needs into scalable solutions
- Strong stakeholder management, communication, prioritization, and problem-solving skills
- Experience applying GenAI/LLMs and AI-assisted development tools
- Experience with RAG, vector databases, or LLM-based analytics/application use cases
- Experience designing reusable frameworks, self-service analytics, or internal developer/analytics platforms
- Exposure to observability, monitoring, production support, root-cause analysis, and performance optimization
- Experience mentoring engineers and influencing technical direction
- Strong product sense and UX awareness
Cisco Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cisco and has not been reviewed or approved by Cisco.
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Healthcare Strength — Health coverage is described as robust with multiple plan options and access to onsite/virtual LifeConnections Health Centers on major campuses. Company materials also highlight mental-health resources and comprehensive preventive care, supporting strong core medical benefits.
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Leave & Time Off Breadth — Time away includes company‑wide recharge days, a paid birthday, a year‑end shutdown, and paid Critical Time Off for emergencies. Paid volunteer days further expand opportunities to step away and recharge.
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Parental & Family Support — Policies include a global minimum for paid parental leave for primary caregivers, caregiving concierge services, and on‑site children’s learning centers in select locations. In the U.S., family‑building support is consolidated under Carrot with a defined lifetime maximum, indicating structured assistance across fertility, preservation, adoption, and surrogacy.
Cisco Insights
What We Do
Cisco (NASDAQ: CSCO) enables people to make powerful connections--whether in business, education, philanthropy, or creativity. Cisco hardware, software, and service offerings are used to create the Internet solutions that make networks possible--providing easy access to information anywhere, at any time. Cisco was founded in 1984 by a small group of computer scientists from Stanford University. Since the company's inception, Cisco engineers have been leaders in the development of Internet Protocol (IP)-based networking technologies. Today, with more than 71,000 employees worldwide, this tradition of innovation continues with industry-leading products and solutions in the company's core development areas of routing and switching, as well as in advanced technologies such as home networking, IP telephony, optical networking, security, storage area networking, and wireless technology. In addition to its products, Cisco provides a broad range of service offerings, including technical support and advanced services. Cisco sells its products and services, both directly through its own sales force as well as through its channel partners, to large enterprises, commercial businesses, service providers, and consumers.
