Software Engineer – 8-10 years, Data Warehousing, Cloud Data Platforms, Database

Cisco

Software Engineer developing and maintaining data processing platforms at Cisco IT. Collaborating with data analysts and engineers to ensure data integrity and support business insights.

Posted 7/8/2026full-timeHyderabad • 🇮🇳 IndiaSeniorLeadWebsite

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 AI/ML implementation. Proficient in leading cross-functional collaboration to optimize data pipelines and ensure data availability and accuracy.

Highest-signal resume keywords

Data Warehousing (DWH)ETL Tools: Informatica, DBTCloud Data PlatformsData Streaming Technologies: KafkaScripting and Programming: Unix Shell Script, Python, SQL

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Warehousing (DWH)ETL Tools: InformaticaETL Tools: DBTCloud Data PlatformsData Streaming Technologies: KafkaScripting: Unix Shell ScriptScripting: PythonScripting: SQLData Quality & Observability ToolsREST APIs

Soft Skills

CollaborationLeadership

Tools & Technologies

GitCI/CD PipelinesAgile Development MethodologiesDockerKubernetesDevOps Practices

Industry Keywords

Data Processing PlatformsData PipelinesData AnalyticsGovernance Best PracticesMicroservices Architecture

Tech Stack

Tools & technologies

CloudDockerETLInformaticaKafkaKubernetesMicroservicesPythonSQLUnix

About the role

Key responsibilities & impact

Design, develop, and maintain scalable data processing platforms
Lead the development and optimization of multiple data pipelines
Collaborate closely with data analysts, engineers, and key partners
Ensure unified data availability, quality, and accuracy
Define and implement AI/ML use cases to deliver actionable insights
Empower and support multiple Corporate Functional portals through scalable data analytics platforms
Ensure high data quality, consistency, and adherence to governance and security best practices
Work cross-functionally with analytics, engineering, and business teams

Requirements

What you’ll need

8-10 years of experience in Data Warehousing (DWH)
Expertise in cloud data platforms and database technologies
Strong experience with ETL tools: Informatica, DBT
Proficiency with data quality & observability tools
Experience with data streaming technologies: Kafka
Hands-on scripting and programming skills: Unix shell Script, Python, SQL
Familiarity with Git, CI/CD pipelines, and Agile development methodologies
Knowledge of REST APIs, microservices architecture, and system integration
Experience with Docker, Kubernetes, and DevOps practices
Bachelor's degree in engineering, Technology, or a related field

Benefits

Comp & perks

Competitive salary
Flexible working hours
Professional development opportunities
Collaborative and supportive work environment