📋 Job Details at a Glance 📍 Location Bangalore, India 🏢 Company Cisco 👥 Experience 1-3 years 🎓 Qualification Hands-on with Python, SQL, AWS, GCP, CI/CD. Relevant technical qualification and demonstrated shipping experience 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary Not Disclosed 🏢 Industry Technology 🛠 Key Skills Python SQL AWS GCP CI/CD Snowflake Data Cloud DBT Data Engineer at Cisco — Full Details & How to Apply Cisco is seeking a Data Engineer in Bangalore, India to develop robust ETL pipelines and support advanced analytics. Candidates must have hands-on experience with Python, SQL, AWS, GCP, CI/CD and demonstrated shipping experience in data pipelines. This Data Engineer role directly supports the design and maintenance of scalable data ecosystems that enable advanced analytics and AI-driven solutions. The position involves building and managing ETL pipelines, performing data modeling, and executing data transformation tasks using tools such as Snowflake , DBT , and cloud platforms. These responsibilities ensure that business insights are derived from reliable, real-time data flows. The job posting highlights that Cisco is seeking a Data Engineer to contribute to global teams, with responsibilities focused on data infrastructure and pipeline development. The role is part of Cisco ’s technology operations in Bangalore, India , where technical expertise in cloud and data platforms is essential. This position reflects Cisco ’s commitment to data-driven innovation through engineering roles in cloud environments. 2023, 2024, 2025, 2026 graduates should apply if they have hands-on experience with Python, SQL, AWS, GCP, CI/CD , and possess a relevant technical qualification with demonstrated shipping experience. The role requires 1-3 years of experience . Salary is not disclosed. Applicants will gain hands-on experience with Python , SQL , AWS , GCP , Snowflake , and DBT . This role provides foundational exposure to enterprise data engineering practices and opens pathways to advanced data architecture and cloud operations roles. It serves as a stepping stone for progression into senior data engineering or data platform leadership positions. 📊 Role Difficulty: Medium | Competition Level: Medium | Fresher Friendly: No NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Explore more Data Engineer jobs , Cisco recruitment , and Bangalore, India jobs on our platform. Job Role & Responsibilities The Data Engineer at Cisco builds and maintains scalable data ecosystems to power AI-driven analytics and real-time business intelligence, ensuring data integrity through governance and lineage across global operations. Design and implement ETL pipelines using DBT and Snowflake to extract, transform, and load data from heterogeneous sources into cloud data warehouses. Develop data transformation scripts in Python to process raw logs, sensor data, and network telemetry for downstream analytics and machine learning models. Query and manage structured data in cloud data warehouses using SQL to generate performance metrics, system health reports, and operational KPIs. Deploy and maintain data pipelines on AWS and GCP using infrastructure-as-code tools such as Terraform and AWS CloudFormation. Monitor data quality and performance using Data Cloud and data observability tools to detect anomalies and trigger alerts on data drift or latency. Document pipeline architecture, data flow diagrams, and error handling procedures in Confluence or Notion for auditability and team onboarding. Optimize ETL job performance by tuning SQL queries and Python scripts to reduce execution time by at least 20% in production environments. Resolve data pipeline failures by diagnosing root causes in DBT models, Snowflake jobs, or CI/CD pipelines and implement corrective actions. This role requires direct ownership of data infrastructure, where every pipeline failure or data quality drop impacts real-time decision-making and AI model accuracy across Cisco ’s global operations. Required Skills & Technical Competencies The Data Engineer must possess a strong foundation in Python , SQL , and cloud platforms to build, maintain, and monitor production-grade data systems. Technical Skills Python — intermediate — used to write data transformation scripts and ETL logic in DBT and Snowflake integration layers. SQL — intermediate — used to query cloud data warehouses , validate data integrity, and generate performance metrics for analytics dashboards. AWS — intermediate — leveraged for deploying data lakes , data processing services , and CI/CD pipelines in production environments. GCP — intermediate — used to host data storage and compute services that support real-time analytics and data ingestion. Snowflake — intermediate — used as the primary cloud data warehouse for storing and querying large-scale data with ETL pipelines and data modeling . Data Cloud — entry — used to manage data lineage , governance policies , and data quality rules across enterprise data assets. CI/CD — entry — used to automate pipeline deployment and testing of DBT and Python scripts in GitHub Actions or GitLab CI . When preparing your resume, emphasize specific projects where you used Python , SQL , or DBT to build and deploy production pipelines on AWS or GCP . Eligibility Criteria This role is designed for graduates with a technical qualification and 1–3 years of hands-on experience in data engineering or related domains. Must hold a relevant technical qualification such as a Bachelor’s degree in Computer Science or Information Technology . Eligible batches are 2023 , 2024 , 2025 , and 2026 only. Must have 1–3 years of hands-on experience in data engineering, including project work or internships involving data pipelines. CGPA is not specified, but academic performance must demonstrate technical aptitude in programming and data systems. Must have a portfolio showcasing Python , SQL , and cloud-based ETL pipelines built with DBT or Snowflake . Must have demonstrated shipping experience with data pipelines in real-world environments, not just academic projects. Documentation & Portfolio Requirements Your resume must include a clear project section with specific tools used (e.g., Python , SQL , DBT ) and metrics such as data volume processed or latency reduced. For this role, prioritize showcasing a real-world data pipeline built with Python and DBT on AWS or GCP that processed 100K+ records or reduced job runtime by 30% — this demonstrates practical experience and technical execution . Salary for Data Engineer at Cisco 💰 Compensation Not Disclosed The advertised compensation for the Data Engineer role at Cisco is Not Disclosed . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Recommended Courses & Preparation Tips for Data Engineer Upskilling with the right resources significantly enhances your chances of selection for the Data Engineer role at Cisco . Recommended Courses & Resources Python — Essential for data manipulation and engineering tasks. SQL — Crucial for database querying and management. AWS — Important for cloud-based data solutions. GCP — Key for leveraging Google Cloud services in data engineering. KodNest — Provides hands-on experience with data engineering projects. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Applying without demonstrating experience with Python — ensure to include relevant projects. ❌ Using a generic resume — tailor it to the specific responsibilities outlined in the job description. ❌ Listing technologies like Snowflake without details — provide context on where they were applied. ❌ Ignoring the experience requirement of 1-3 years — ensure you meet this criterion. ❌ Adding unrelated technologies or unsupported claims — focus on substantiated experiences. ❌ Not verifying the official Apply URL — always check the link before submission. Before You Apply — Checklist ✅ Confirm the job title, company, location, work mode, and experience requirement. ✅ Check that the candidate meets the supplied qualification criteria. ✅ Verify eligibility against the supplied eligible batches and experience requirement. ✅ Add relevant supplied JD keywords naturally to the resume. ✅ Highlight projects or experience related to the supplied technologies and responsibilities. ✅ Remove unsupported technologies, achievements, or experience claims. ✅ Open and verify the supplied Apply URL before submitting the application. ✅ Save the job details, application date, and role-specific resume version for tracking. Resume Tailoring & ATS Keywords for Data Engineer Optimizing your resume for ATS is crucial for standing out in the application process for the Data Engineer role. ATS Keywords to Include Python SQL AWS GCP Snowflake DBT ETL Data Engineering Data Quality Data Governance Data Modeling Data Transformation Resume Tips for This Role Highlight your experience with Python , as it is a critical skill for this role. Emphasize familiarity with cloud technologies like AWS and GCP , as they are essential for data engineering tasks. Showcase projects that involved ETL pipeline development or data transformation. Use keywords from the job description naturally to align with ATS requirements. Avoid including unsupported technologies or experiences that cannot be substantiated. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro tip: Avoid including unrelated experiences or unsupported claims in your resume for this role. How to Apply for Data Engineer at Cisco Apply Now — Cisco Open the official apply URL and confirm the job title and company is correct. Prepare a resume aligned with the required skills, responsibilities, qualifications, and experience. Complete the official application form accurately and avoid unsupported claims. Submit the application and save the confirmation or application reference if provided. Record the application date and monitor the official company portal or registered email for updates. Applications are reviewed on a rolling basis — early submission is recommended. Apply Now — Cisco NexisGrow.com does not charge any fees for job applications. Cisco Cisco is a technology company based in Bangalore, India, operating in the technology sector. This Data Engineer role is onsite and supports advanced analytics and AI-driven solutions through collaboration with global engineering and business teams. The team designs and maintains scalable data ecosystems, building ETL pipelines and ensuring data quality, governance, and observability. Responsibilities include data modeling, ingestion, transformation, and integration using tools like Python , SQL , Snowflake , AWS , and GCP . This role supports the company’s focus on modern data platforms and cloud data warehousing, enabling reliable data delivery for AI-driven insights. Early-career professionals gain hands-on exposure to cloud data platforms, CI/CD , and data engineering practices through real-world applications of Snowflake , DBT , and data pipeline development. Company Details Industry Technology Location Bangalore, India Connect With Us Careers Apply Now Website 🔗 cisco.wd5.myworkdayjobs.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for this role? Eligibility Tap to expand + Answer Candidates with a relevant technical qualification from the eligible batches of 2023, 2024, 2025, and 2026, having 1-3 years of experience. ? What technical skills are most important for this role? Skills Tap to expand + Answer Python, SQL, AWS, GCP, Snowflake, and DBT are the most important skills for this role. ? What is the expected salary for this position? Salary Tap to expand + Answer Salary Display is 'Not Disclosed'. ? What should I expect after applying? Hiring Process Tap to expand + Answer The exact hiring stages are not specified in the job posting. ? How should I prepare for the interview? Preparation Tap to expand + Answer Review Python and SQL concepts, familiarize yourself with AWS and GCP, understand ETL processes, prepare to discuss data quality management, and be ready to explain your previous projects. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer This role is onsite in Bangalore, India. ? What career exposure can this role provide? Growth Tap to expand + Answer The role offers exposure to cloud data warehousing, modern data platforms, and collaboration with global teams. ? What should I highlight in my resume for this role? Resume Tap to expand + Answer Highlight skills in Python, SQL, AWS, GCP, and experience with ETL pipelines and data quality management. ? Is there a last date to apply? Application Tap to expand + Answer Not specified in the job posting. ? Is there a probation period? Probation Tap to expand + Answer Not specified in the job posting. ? What is the work environment like for this role? Culture Tap to expand + Answer The role involves collaboration with global teams, including engineers and business stakeholders. ? Can freshers apply for this role? Fresher Tap to expand + Answer No, as the experience requirement is 1-3 years. 🔗 Explore More on NexisGrow More jobs in Bangalore Browse all Tech jobs Latest Fresher jobs More jobs at Cisco Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. 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