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Software Engineer – 8-10 years experience, Data Warehousing, cloud data platforms, database
CiscoSoftware Engineer delivering scalable data processing platforms while collaborating with analysts and engineers at Cisco. Leading data pipeline optimization and AI integration for business insights.
Tech Stack
Tools & technologiesCloudDockerETLInformaticaKafkaKubernetesMicroservicesPythonSQLUnix
About the role
Key responsibilities & impact- Design, develop, and maintain scalable data processing platforms supporting Corporate Functional Data IT.
- Collaborate closely with data analysts, engineers, and key partners to ensure unified data availability, quality, and accuracy across the organization.
- Lead the development and optimization of multiple data pipelines.
- Integrate advanced technology for faster insights.
- Serve as a go-to expert for data analytics and modeling.
- Architect and stabilize transactional data pipelines for the Cisco IT Data team using a unified ingestion framework.
- Build and optimize pipelines for analytical reporting, self-service reporting, and data virtualization models tailored to consumer needs.
- Lead POCs with emerging technologies to enhance analytics platforms, ensuring efficiency and alignment with business metrics and canonical data models.
- Define and implement AI/ML use cases (e.g., NLP to SQL conversational agents) to deliver actionable insights and accelerate business growth.
- Ensure high data quality, consistency, and adherence to governance and security best practices.
- Work cross-functionally with analytics, engineering, and business teams to deliver end-to-end solutions.
Requirements
What you’ll need- 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.
Benefits
Comp & perks- Flexible work arrangements
- Professional development opportunities
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Data ModelingDatabase DesignScripting (Unix Shell Script, Python, SQL)Data Quality & Observability ToolsBuilding Data PipelinesREST APIsObject-Oriented ProgrammingData StructuresAlgorithmsMicroservices Architecture
Soft Skills
CollaborationLeadershipProblem-SolvingCommunication