Data Engineer

123 Cisco Systems (India) Private Limited; Hyderabad; On-site; INR 850,000 - 1,200,000; Full time

Job summary

123 Cisco Systems (India) Private Limited is looking for a Data Engineer in Hyderabad. You will develop and maintain scalable data processing platforms and collaborate with senior data engineers to ensure quality code delivery.

This role involves innovating and transforming data infrastructure, ensuring timely project delivery, and maintaining high data quality standards. You’ll need a Bachelor's degree and 5-8 years of experience in Data Warehousing, along with proficiency in ETL tools and cloud technologies.

Qualifications

• 5–8 years of experience in Data Warehousing with strong understanding of ETL processes.
• Expertise in cloud data platforms (e.g., Snowflake).
• Hands-on experience with UNIX shell scripting, Python, and SQL.

Responsibilities

• Develop and maintain scalable data processing platforms.
• Ensure data availability and architecture acceleration.
• Participate in full software lifecycle including testing and deployment.

Skills

ETL processes and tools

Cloud data platforms

Data streaming technologies

Scripting skills: Unix, Python, SQL

Education

Bachelor’s degree in engineering, technology or related field

Tools

Informatica

DBT

Snowflake DMF

Kafka

Job description

Meet the Team Join the Cisco IT Data team, where we are passionate about leveraging technology and AI to deliver impactful business outcomes. Our highly collaborative and innovative team delivers robust end-to-end platforms and services, enabling a variety of competitive Sales insights & solutions including financial management reporting for Cisco. We foster a creative, fun, and supportive culture where you are encouraged to explore new ideas and drive meaningful impact.

Your Impact: As a Data Engineer, you will develop and maintain scalable data processing platforms supporting Corporate Functional Data IT. You will collaborate closely with senior data engineers to ensure delivery of quality code with unit test results and reports. You will be part of the operation team responsible for maintaining and optimizing multiple data pipelines, integrating advanced technology for faster insights, and serve as a go‑to expert for data analytics and modeling. You will also get an opportunity to work on automation framework development and maintenance.

Key Responsibilities

• Data availability and Architecture Acceleration: Responsible for developing data integration and implementation solutions that ensure data availability.
• Project Delivery: Involved in on-time delivery of projects.
• Software Development Lifecycle Participation: Engages in the full software lifecycle, including development, testing, and deployment of data-related applications, which may involve databases in on-premises or cloud environments.
• Innovation and Transformation: Has opportunities to innovate and transform data infrastructure and processes to improve efficiency and performance.
• Build and optimize big data pipelines.
• Cross-Functional Collaboration: Works closely with various teams such as engineering and platform teams to align operational goals with technical execution.
• Data Quality: Contributes to data quality and compliance, including cleansing and scrubbing of data, data integrations and data quality framework.
• Analytical Approach: Applies analytic techniques and understanding of business problems and algorithms to validate, impute and transform.

Minimum Qualifications

• Bachelor’s degree in engineering, technology, or a related field.
• 5–8 years of experience in Data Warehousing (DWH) with strong understanding of ETL processes and tools.
• Expertise in cloud data platforms and database technologies: Snowflake etc.
• Strong experience with ETL tools: Informatica, DBT.
• Proficiency with any data quality & observability tools: Snowflake DMF.
• Experience with data streaming technologies: Kafka.
• Hands‑on scripting and programming skills: Unix shell script, Python, SQL.

Preferred Qualifications

• Experience with real-time data and stream processing systems.
• Familiarity with data visualization tools and techniques.
• Solid knowledge of data governance, security, and compliance practices.
• Exposure to AI/ML frameworks and technologies in the data domain (LLMs, predictive/prescriptive analytics, etc.).
• Experience working in agile teams; SAFe Agilist certification is a plus.
• Good team player with strong communication skills.