Primary Function:

• The role of Data Engineer, CRM Database & Operations is responsible for optimizing and building CRM database processes and data pipelines and support
• the marketing campaigns and automation efforts.
• Strong database experience and data engineering skills are critical to this role.
• This role provides excellent
• opportunities to learn and grow your data skills, while providing ample exposure to end-to-end CRM technology and processes.

Responsibilities:

• Discuss data needs with CRM and brand partners and acquire and analyze current database processes and data across sources
• Work with cross-functional teams to design, build and test ETL process and data pipeline to transform data into actionable insights
• Data engineering support for metadata management, regulatory compliance, marketing campaigns and automation projects.

DB Operations:

• Review consumer data flows and pipelines and identify opportunities to improve and modernize the existing processes
• Support consumer case(s) research to identify any underlying database and/or operational issues affecting the consumers
• Design guidance and test support for new database projects and pipeline built in-house and by vendors across consumer brands

Requirements:

• 2 – 5 years of experience as a Data Engineer working on database architecture and ETL/ELT pipeline build is required
• Strong experience in relational and non-relational databases with hands-on data modeling and SQL coding is required.
• Experience in database marketing ETL/Automation tools such as Informatica, Salesforce, Unica and Alteryx is preferred.
• Working knowledge of modern cloud, big data platforms and software engineering tools and principles is preferred.
• Excellent problem-solving skills and ability to find creative solutions for CRM database and pipeline challenges.
• Strong verbal and written communications skills in explaining database challenges and proposing solutions.

Education:

• Bachelor’s degree in Engineering/Computer Science/Marketing or in a relevant area (and/or)
• Certified in Data Engineering, Data Science and/or Data Analytics with industry experience