Principal Data Engineer (01323)

Posted 6 days agoViewed

💎 Seniority level: Principal, 3-5 years

📍 Location: United States

💸 Salary: 142771.0 - 225000.0 USD per year

🔍 Industry: Media and Analytics

🗣️ Languages: English

⏳ Experience: 3-5 years

🪄 Skills: AWSPythonSQLApache AirflowGitMachine LearningData engineeringRegression testingPandasSpark

Master's degree in Computer Science, Data Science, engineering, mathematics, or a related quantitative field plus 3 years of experience in analytics software solutions.
Bachelor's degree in similar fields plus 5 years of experience is also acceptable.
3 years of experience with Python and associated packages including Spark, AWS, S3, Java, JavaScript, and Adobe Analytics.
Proficiency in SQL for querying and managing data.
Experience in analytics programming languages such as Python (with Pandas).
Experience in handling large volumes of data and code management tools like Git.
2 years of experience managing computer program orchestrations and using open-source management platforms like AirFlow.

Develop, test, and orchestrate econometric, statistical, and machine learning modules.
Conduct unit, integration, and regression testing.
Create data processing systems for analytic research and development.
Design, document, and present process flows for analytical systems.
Partner with Software Engineering for cloud-based solutions.
Orchestrate modules via directed acyclic graphs using workflow management systems.
Work in an agile development environment.

Posted 6 days ago

📍 U.S.

🧭 Full-Time

💸 142771.0 - 225000.0 USD per year

🔍 Media and analytics

🔧 Requirements

Master’s degree in Computer Science, Data Science, engineering, mathematics or a related quantitative field plus 3 years of experience in delivering analytics software solutions or a Bachelor’s degree plus 5 years.
Must have 3 years of experience with Python, associated packages including Spark, AWS, and SQL for data management.
Experience with analytics programming languages, parallel processing, and code management tools like Git.
Two years of experience managing program orchestrations and working with open-source management platforms such as AirFlow.

💡 Responsibilities

Modern analytics programming: developing, testing and orchestrating econometric, statistical and machine learning modules.
Unit, integration and regression testing.
Understanding the deployment of econometric models and learning methods.
Create data processing systems for analytics research and development.
Design, write, and test modules for Nielsen analytics cloud-based platforms.
Extract data using SQL and orchestrate modules via workflow management platforms.
Design, document, and present process flows for analytical systems.
Partner with software engineering to build analytical solutions in an agile environment.

AWSPythonSQLApache AirflowGitMachine LearningSpark

Posted 6 days ago