Data Engineer

Posted 15 Minutes Ago
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Hyderabad, Telangana, IND
In-Office
Mid level
Cloud • Information Technology • Internet of Things • Professional Services • Software
The Role
Design, build, maintain, and optimize scalable ETL/ELT pipelines and data models using modern cloud data platforms. Transform raw data into reliable analytical data, troubleshoot performance issues, and implement CI/CD and version-control best practices. Collaborate with cross-functional and global teams to translate data requirements into technical solutions. The role requires Python, SQL, dbt, Snowflake, AWS, and Agile development experience, with Matillion, Meltano, and microservices experience preferred.
Summary Generated by Built In

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.


Skills Required

  • 2–3 years of professional Data Engineering experience
  • At least 2 years of hands-on experience with dbt and Snowflake
  • Advanced proficiency in Python and SQL
  • Understanding of modern cloud data warehousing concepts
  • Experience designing complex ETL transformations
  • Strong experience with AWS services and CI/CD tools such as GitLab or GitHub
  • Ability to troubleshoot data issues and improve pipeline performance
  • Experience using Jira for sprint planning, task tracking, backlog grooming, and software development lifecycle management
  • Experience with Matillion for cloud-native data integration and ELT workflows
  • Experience with Meltano for CLI-driven data integration pipelines
  • Experience developing, deploying, and maintaining microservices

Cisco Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cisco and has not been reviewed or approved by Cisco.

  • Healthcare Strength Health coverage is described as robust with multiple plan options and access to onsite/virtual LifeConnections Health Centers on major campuses. Company materials also highlight mental-health resources and comprehensive preventive care, supporting strong core medical benefits.
  • Leave & Time Off Breadth Time away includes company‑wide recharge days, a paid birthday, a year‑end shutdown, and paid Critical Time Off for emergencies. Paid volunteer days further expand opportunities to step away and recharge.
  • Parental & Family Support Policies include a global minimum for paid parental leave for primary caregivers, caregiving concierge services, and on‑site children’s learning centers in select locations. In the U.S., family‑building support is consolidated under Carrot with a defined lifetime maximum, indicating structured assistance across fertility, preservation, adoption, and surrogacy.

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The Company
HQ: San Jose, CA
77,500 Employees
Year Founded: 1984

What We Do

Cisco (NASDAQ: CSCO) enables people to make powerful connections--whether in business, education, philanthropy, or creativity. Cisco hardware, software, and service offerings are used to create the Internet solutions that make networks possible--providing easy access to information anywhere, at any time. Cisco was founded in 1984 by a small group of computer scientists from Stanford University. Since the company's inception, Cisco engineers have been leaders in the development of Internet Protocol (IP)-based networking technologies. Today, with more than 71,000 employees worldwide, this tradition of innovation continues with industry-leading products and solutions in the company's core development areas of routing and switching, as well as in advanced technologies such as home networking, IP telephony, optical networking, security, storage area networking, and wireless technology. In addition to its products, Cisco provides a broad range of service offerings, including technical support and advanced services. Cisco sells its products and services, both directly through its own sales force as well as through its channel partners, to large enterprises, commercial businesses, service providers, and consumers.

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