Data Engineer

trilyon, inc.

Bengaluru, India

4-7 Years

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Posted 2 months ago
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Job Description

What You'll Do

The Marketing Engineering organization in Strategy, Planning & Operations is looking for a Data Engineer eager to provide the engineering muscle for core engineering work around data architecture, data pipeline development, and deploying production workflows to continue improving our data & reporting needs for Marketing in an AI future.

You will be responsible for:

• Working with a technical leader to lead major engineering initiatives to support decision-making by the business

• You will help manage production data workflows, ensuring timely updates are made through a standard SDLC process.

• You will help design and develop new architectures and workflows to support the growing business needs of Cisco Marketing.

Who You'll Work With

• You will report to a manager within Advanced Analytics and work directly with a Team Leader in the Engineering Center of Excellence

• You will work closely with Modelers, Business Stakeholders, Analytics Translators as well as IT

Who you are:

You like working with Data and love getting the business to adopt Data Insights. Minimum qualifications are:

• Experience with data modeling, data warehousing, and building ETL pipelines

• Experience in SQL, Python, and Unix/Bash scripting

• Experience working with Docker, Git, and various cloud platforms like Google Cloud and Azure.

• Writing complex, optimized SQL queries across large data sets

• Experience in communicating complex technical concepts to a broad variety of audiences

• Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy.

Preferred Qualifications:

• BS/MS in Computer Science/Engineering.

• 4-7 years of experience in a Data Engineering or similar role

• Knowledge of software engineering standard methodologies across development lifecycles – including agile methodologies, coding standards, code reviews, source management, build processes, testing and operations.