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Data Engineer

Cisco Open
Hybrid Hyderabad Full-time Mid-level Data Engineering

At a glance

Mid-level Data Engineering role at Cisco. Hyderabad · full-time.

Pay not stated Data Engineer salary

RoleData Engineering
SeniorityMid-level
LocationHyderabad
WorkplaceHybrid
EmploymentFull-time
PostedSep 21, 2026
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build and maintain ETL/ELT pipelines that meet business needs and handle growing workloads
  • Create data models for analytics and operational use, then refine pipelines for speed, cost and reliability
  • Run complex data transformations to produce dependable, usable data
  • Turn cross-team data needs into technical solutions and manage code changes through CI/CD and Git

What you bring

  • At least two years in data engineering, including two years working directly with dbt and Snowflake
  • Advanced Python and SQL skills, plus a strong grasp of cloud data warehousing
  • Hands-on AWS and CI/CD experience, with GitLab, GitHub or another listed tool
  • Experience troubleshooting data problems, improving pipeline performance and using Jira to coordinate Agile delivery

Who this fits

This mid-level role suits a data engineer who has built pipelines and transformations and can work across engineering and partner teams. It is based in Hyderabad in a hybrid setup, with collaboration involving US partners.

From the employer

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.


Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.