Software Engineer- 8-10 years of experience in Data Warehousing (DWH) with expertise in cloud data platforms and database

Cisco · Bengaluru · 8–10 yrs experience · Posted 2026-06-29

Tech stack: Docker, Go, Kafka, Kubernetes, Python, SQL, Unix

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About the role

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 cultivate a creative, fun, and supportive culture where you are encouraged to explore new ideas and drive meaningful impact.
Responsibilities:
- As a Software engineer technical leader, you will design, develop, and maintain scalable data processing platforms supporting Corporate Functional Data IT. You will collaborate closely with data analysts, engineers, and key partners to ensure unified data availability, quality, and accuracy across the organization. You will lead the development and optimization of multiple data pipelines, integrate advanced technology for faster insights, and serve as a go-to expert for data analytics and modeling. Your work will directly influence business-critical decision-making and innovation.
- Deep understanding and maintenance of data pipelines:
- Architect and stabilize transactional data pipelines for the Cisco IT Data team using a unified ingestion framework.
- Data consumption pipelines:
- Build and optimize pipelines for analytical reporting, self-service reporting, and data virtualization models tailored to consumer needs.
- Technical proof-of-concept:
- Lead POCs with emerging technologies to enhance analytics platforms, ensuring efficiency and alignment with business metrics and canonical data models.
- AI-driven insights:
- Define and implement AI/ML use cases (e.g., NLP to SQL conversational agents) to deliver actionable insights and accelerate business growth.
- Platform enablement:
- Empower and support multiple Corporate Functional portals (Customer Portal, Partner Portal, etc.) through scalable data analytics platforms.
- Data quality & governance:
- Ensure high data quality, consistency, and adherence to governance and security best practices. Collaboration:
- Work cross-functionally with analytics, engineering, and business teams to deliver end-to-end solutions.
Qualifications:
- Bachelor’s degree in engineering, Technology, or a related field.
- 8-10 years of experience in Data Warehousing (DWH) with strong understanding of ETL processes and tools.
- Expertise in cloud data platforms and database technologies: Snowflake etc.
- Strong experience with ETL tools:
- Informatica, DBT
- Proficiency with any data quality & observability tools: Snowflake DMF
- Experience with data streaming technologies: Kafka
- Hands-on scripting and programming skills:
- Unix shell Script, Python, SQL
- Experience in Enterprise AI integrations:
- MCP Server, RAG
- Experience in data modeling, designing database structures, and enabling varied data consumption models (virtualization, reporting, etc.).
- Proven ability to build, optimize, and maintain efficient, reusable, and reliable data pipelines.
- Familiarity with Git, CI/CD pipelines, and Agile development methodologies.
- Good understanding of object-oriented programming, data structures, and algorithms.
- Knowledge of REST APIs, microservices architecture, and system integration.
- Experience with Docker, Kubernetes, and DevOps practices.
- Experience with real-time data and stream processing systems.
- Familiarity with data visualization tools and techniques.
- Solid knowledge of data governance, security, and compliance practices.
- Exposure to AI/ML frameworks and technologies in the data domain (LLMs, predictive/prescriptive analytics, etc.).
- Experience working in agile teams; SAFe Agilist certification is a plus.
- Good team player, Strong communication skills and ability to lead technical initiatives.

Qualifications

- Bachelor’s degree in engineering, Technology, or a related field.
- 8-10 years of experience in Data Warehousing (DWH) with strong understanding of ETL processes and tools.
- Expertise in cloud data platforms and database technologies: Snowflake etc.
- Strong experience with ETL tools: Informatica, DBT
- Proficiency with any data quality & observability tools: Snowflake DMF
- Experience with data streaming technologies: Kafka
- Hands-on scripting and programming skills:
- Unix shell Script, Python, SQL
- Experience in Enterprise AI integrations:
- MCP Server, RAG
- Experience in data modeling, designing database structures, and enabling varied data consumption models (virtualization, reporting, etc.).
- Proven ability to build, optimize, and maintain efficient, reusable, and reliable data pipelines.
- Familiarity with Git, CI/CD pipelines, and Agile development methodologies.
- Good understanding of object-oriented programming, data structures, and algorithms.
- Knowledge of REST APIs, microservices architecture, and system integration.
- Experience with Docker, Kubernetes, and DevOps practices.
- Experience with real-time data and stream processing systems.
- Familiarity with data visualization tools and techniques.
- Solid knowledge of data governance, security, and compliance practices.
- Exposure to AI/ML frameworks and technologies in the data domain (LLMs, predictive/prescriptive analytics, etc.).
- Experience working in agile teams; SAFe Agilist certification is a plus.
- Good team player, Strong communication skills and ability to lead technical initiatives.

Responsibilities

- As a Software engineer technical leader, you will
- design, develop, and maintain scalable data processing platforms supporting Corporate Functional Data IT.
- You will collaborate closely with data analysts, engineers, and key partners to ensure unified data availability, quality, and accuracy across the organization.
- You will lead the development and optimization of multiple data pipelines, integrate advanced technology for faster insights, and serve as a go-to expert for data analytics and modeling.
- Your work will directly influence business-critical decision-making and innovation.
- Deep understanding and maintenance of data pipelines:
- Architect and stabilize transactional data pipelines for the Cisco IT Data team using a unified ingestion framework.
- Data consumption pipelines:
- Build and optimize pipelines for analytical reporting, self-service reporting, and data virtualization models tailored to consumer needs.
- Technical proof-of-concept: Lead POCs with emerging technologies to enhance analytics platforms, ensuring efficiency and alignment with business metrics and canonical data models.
- AI-driven insights: Define and implement AI/ML use cases (e.g., NLP to SQL conversational agents) to deliver actionable insights and accelerate business growth.
- Platform enablement: Empower and support multiple Corporate Functional portals (Customer Portal Partner Portal, etc.) through scalable data analytics platforms.
- Data quality & governance:
- Ensure high data quality, consistency, and adherence to governance and security best practices.
- Collaboration: Work cross-functionally with analytics, engineering, and business teams to deliver end-to-end solutions.

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