Senior Data Engineer

Overall Job Summary

The Senior Data Engineer for Data Personalization and Analytics is pivotal in executing our customer data personalization strategy using advanced analytics and engineering techniques. Specializing in SQL, Python, Adobe suite, Alteryx, and Azure, this role is at the heart of our data engineering efforts to model insights and support targeted campaigns. The Senior Data Engineer will also take a leading role in managing our digital analytics across various channels, ensuring data-driven decisions that enhance customer satisfaction and business growth.

Essential Duties and Responsibilities (Min 5%)

• Develop and maintain scalable data/deployment pipelines, integrating various data sources using SQL, Python, and Alteryx, ensuring high data quality and accessibility.

• Work closely with analytics and business teams to assist with data-related technical issues and support data infrastructure needs.

• Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs.

• Manage the deployment of analytics solutions on the Adobe platform.

• Collaborate with cross-functional teams to align data personalization efforts, reporting measurable outcomes from digital and social campaigns.

• Contribute to the management of the budget and resources dedicated to data personalization projects.

• Foster an environment of continuous learning and development within the data analytics and personalization team.

Required Qualifications

Experience: 5+ years of experience in a data engineering role, with a strong background in SQL, Python, and data pipeline development.

Education: Bachelor’s degree in Computer Science, Engineering, or related field.

High Demand IT Specialized skills:

• Expertise in Python programming , SQL, Alteryx and Tableau.

• Experience with personalization suits like Adobe Campaign, Adobe Target, AEM.

• Experience with cloud-based analytical tools (MS Azure, Snowflake, or similar).

Preferred knowledge, skills or abilities

• Direct experience with large-volume customer data sets.

• Experience connecting multiple disparate data sources in the course of analysis.

• Strong analytical and problem-solving skills, with the ability to translate business objectives into analytical projects and solutions.

Working Conditions

• Normal office working conditions

Physical Requirements

• Sitting

• Standing (not walking)

• Walking

• Kneeling/Stooping/Bending

• Reaching overhead

• Lifting up to 20 pounds

Disclaimer

This job description represents an overview of the responsibilities for the above referenced position. It is not intended to represent a comprehensive list of responsibilities. A team member should perform all duties as assigned by his/ her supervisor.

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