Data Engineer

Cisco Systems, Inc; Hyderabad; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Cisco Systems, Inc in Hyderabad, India, is seeking a Data Engineer to design, build, and optimize robust data pipelines. You will transform raw data into insights using modern cloud data architectures, ensuring scalability, performance, and reliability across our data ecosystem.

You will work in a fast-paced, global environment with US partners, collaborating across teams to deliver data-driven solutions and maintain DevOps best practices with GitLab/GitHub.

Qualifications

• 2–3 years of professional data engineering experience.
• At least 2 years with DBT and Snowflake.
• Strong Python and SQL proficiency; cloud data warehousing knowledge.
• Experience with AWS services and CI/CD (GitLab/GitHub).

Responsibilities

• Design, build, and maintain scalable ETL/ELT pipelines.
• Architect and implement efficient data models for analytics and operations.
• Monitor and optimize pipelines for performance and cost-efficiency.
• Execute complex ETL transformations to ensure high-quality data.
• Collaborate with cross-functional teams to translate data needs into solutions.
• Implement CI/CD workflows and maintain version control.

Skills

Python

SQL

Agile methodologies

Tools

DBT

Snowflake

Matillion

Meltano

AWS

GitLab/GitHub

Job description

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.