Data Engineer

Cisco

Data Engineer designing scalable data pipelines, cloud platforms, and AI/ML integrations for Cisco’s enterprise IT data team. Enabling analytics, reporting, governance, and business insights.

Posted 9/7/2026full-timeHyderabad • 🇮🇳 IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining scalable data processing platforms, with a strong focus on data quality, governance, and security. Proficient in building and optimizing data pipelines and implementing AI/ML use cases to enhance analytics capabilities.

Highest-signal resume keywords

Data Warehousing (DWH)ETL Processes and ToolsCloud Data Platforms (Snowflake)Data Streaming Technologies (Kafka)AI/ML Integrations

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingDatabase Structure DesignScripting (Unix Shell Script, Python, SQL)ETL Tools (Informatica, DBT)Data Quality and Observability Tools (Snowflake DMF)

Soft Skills

Good Communication SkillsAbility to Lead Technical Initiatives

Tools & Technologies

SnowflakeKafkaInformaticaDBTMCP Server

Certifications & Qualifications

SAFe Agilist Certification

Industry Keywords

Data GovernanceData SecurityCompliance PracticesAgile TeamsReal-Time Data Processing

Tech Stack

Tools & technologies

CloudETLInformaticaKafkaPythonSQLUnix

About the role

Key responsibilities & impact

Design, develop, and maintain scalable data processing platforms supporting Corporate Functional Data IT
Collaborate with data analysts, engineers, and key partners to ensure unified data availability, quality, and accuracy
Architect and stabilize transactional data pipelines using a unified ingestion framework
Build and optimize pipelines for analytical reporting, self-service reporting, and data virtualization models
Lead technical proofs of concept with emerging technologies to enhance analytics platforms
Define and implement AI/ML use cases, including NLP-to-SQL conversational agents
Enable Corporate Functional portals through scalable data analytics platforms
Ensure data quality, consistency, 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
5–8 years of demonstrated ability in Data Warehousing (DWH), with solid understanding of ETL processes and tools
Expertise in cloud data platforms and database technologies, including Snowflake
Solid experience with ETL tools: Informatica, DBT
Proficiency with data quality and 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, database structure design, and varied data consumption models
Ability to build, optimize, and maintain efficient, reusable, and reliable data pipelines
Preferred: experience with real-time data and stream processing systems
Preferred: familiarity with data visualization tools and techniques
Preferred: knowledge of data governance, security, and compliance practices
Preferred: exposure to AI/ML frameworks and technologies, including LLMs and predictive/prescriptive analytics
Preferred: experience working in agile teams
SAFe Agilist certification is a plus
Good communication skills and ability to lead technical initiatives

Benefits

Comp & perks

Cisco's worldwide network of doers and experts
Opportunities to grow and build
Collaborative, empathetic team culture
Global-scale impact and innovation opportunities