Data Engineer
Cisco is hiring a Data Engineer in Hyderabad, India. Level rates it ; you can apply on Cisco.
Level's read on this job
- Level rates this data engineer role Little AI ●○○○: aI is not part of the work.
- Tools and skills the posting cites include dbt, Snowflake and Python.
- Level classifies it as a mid-level role.
- Level lists 1,400+ other open roles at Cisco.
AI in this role
Data Engineer to design, build, and optimize scalable ETL/ELT pipelines using Snowflake, DBT, Python, and SQL.
Meet the Team
Join our high-impact team of six data specialists based in India, where we drive innovation across modern data platforms through expert transformation, integration, and migration strategies. We operate as a highly motivated, unified unit in constant collaboration with our US partners to architect scalable, data-driven solutions. If you are passionate about engineering excellence and thrive in a fast-paced, global environment, we invite you to help us solve complex data challenges and shape the future of our data infrastructure.
Your Impact
We are seeking a highly skilled Data Engineer to join our team. In this role, you will be responsible for designing, building, and optimizing robust data pipelines. You will leverage your expertise in modern cloud data architectures to transform raw data into valuable insights, ensuring scalability, performance, and reliability across our data ecosystem.
Key Responsibilities
- Pipeline Development: Design, build, and maintain scalable ETL/ELT pipelines to support business requirements.
- Data Modelling: Architect and implement efficient data models to support analytical and operational needs.
- Optimization: Continuously monitor and optimize data pipelines for performance, cost-efficiency, and reliability.
- Transformations: Execute complex ETL transformations to ensure high-quality, actionable data.
- Collaboration: Work closely with cross-functional teams to understand data needs and translate them into technical solutions.
- DevOps Best Practices: Implement CI/CD workflows and maintain version control using Git, ensuring high code quality and smooth deployment cycles.
Minimum Qualifications:
Experience: Minimum of 2-3 years of professional experience in Data Engineering.
- Specialization: At least 2 years of hands-on experience specifically with DBT and Snowflake.
- Technical Proficiency:
- Advanced proficiency in Python and SQL.
- Deep understanding of modern cloud data warehousing concepts.
- Proven experience in designing complex ETL transformations.
- Working
- Cloud & DevOps: Strong experience working with AWS services and CI/CD tools (GitLab/GitHub).
- Problem Solving: Demonstrated ability to troubleshoot data issues and improve pipeline performance.
- Agile Project experience Proficiency in utilizing Jira to manage the end-to-end software development lifecycle. Experienced in sprint planning, technical task tracking, backlog grooming, and collaborating within cross-functional teams to ensure timely delivery of engineering initiatives.
Preferred Qualifications:
- Cloud-Native Data Integration (Matillion): Demonstrated experience leveraging Matillion to design and manage efficient ELT workflows. Proficient in optimizing data transformations within cloud environments (AWS) to improve pipeline performance and scalability.
- Modern ELT Orchestration (Meltano): Practical experience with Meltano for building and maintaining robust, CLI-driven data integration pipelines. Skilled in utilizing open-source frameworks to streamline data movement and manage complex data stacks.
- Microservices Architecture: Proven experience in developing, deploying, and maintaining modular microservices. Familiarity with API design, service-to-service communication, and distributed system patterns to support decoupled and scalable data platform components.
Why Cisco?
At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
We are Cisco, and our power starts with you.
Disclaimer
To ensure that we hire the best talent in the right way, we follow a strict hiring process and recently, Cisco has been made aware of fraudulent recruiters claiming to be from the company. Please be advised that any communication from Cisco about careers will:
- be in direct response to an application you have submitted through the company career site
- begin with screening or an interview
- originate from a Cisco email address, and
- be conducted across email, phone, or WebEx
Cisco will never make a job offer without conducting an interview process or ask you for money in any way. If you have been requested to apply for a role or have received an offer from a site other than https://careers.cisco.com or cisco.wd5.myworkday.com, do not provide any personal identifying information, including your Aadhaar or other personal identifying number, birth certificate, banking information, driver's license, or passport.
If you are the target of a recruiting scam, consider filing a report with your local law enforcement authorities. Cisco bears no responsibility, and cannot be held liable, for any claims, damages, expenses, or other inconvenience resulting from or in any way connected to recruiting scams.
How we rate this
Data Engineer at Cisco rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in data engineer jobs at this level
Pay
- Typical data engineer job
- $147k
This posting doesn't list pay. Use the typical data engineer figure when pay comes up. See data engineer jobs
Questions you could be asked
- Tell me about a project where etl development was part of your work. What did you do?
- Tell me about a project where data modeling was part of your work. What did you do?
- Tell me about a project where pipeline optimization was part of your work. What did you do?
- Tell me about a project where ci/cd was part of your work. What did you do?
- Tell me about a project where data engineering was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: ETL Development, Data Modeling, Pipeline Optimization, CI/CD, and Data Engineering. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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