CDP Data Engineer

Company Description

Merkle is a data-driven, technology-enabled, global performance marketing agency that specializes in the delivery of unique, personalized customer experiences across platforms and devices. For more than 30 years, Fortune 1000 companies and leading nonprofit organizations have partnered with Merkle to maximize the value of their customer portfolios. The agency's heritage in data, technology, and analytics forms the foundation for its unmatched skills in understanding consumer insights that inspire people-based marketing strategies. Its combined strengths in performance media, customer experience, customer relationship management, loyalty, and enterprise marketing technology guide improved marketing results and competitive advantage. With 9,600+ employees, Merkle is headquartered in Columbia, Maryland, with 50+ additional offices throughout the US, EMEA, and APAC. In 2016, the agency joined the Dentsu Aegis Network. For more information, contact Merkle at 1-877-9-Merkle or visit www.merkleinc.com.

Job Description

As Data Engineer, you will apply your expertise in data and analytics to power customer experiences and journeys across channels. You will be accountable for the design and govern the data model within the Customer Data Platform (CDP) that supports our client requirements. You will configure integrations within the platform, within budget, and in compliance with our client's standards. You will display expertise and present platform specific best practices and options. You will work in a matrixed environment from project launch to completion.

Responsibilities

• You will collect our client data requirements based on prioritized use cases.
• You will identify data needs from our partners and design efficient and scalable data solutions to allow personalization at scale.
• You will build designs and present solutions for data collection, management, and processing.
• You will present options concerning methods for collecting data for identity resolution, consumer journey and experience and analytics.
• You will write optimized data transformations in SQL/Python to produce services consumed by partners such as Marketing Operations, Sales Operations, Analytics, BI and ML/AI teams.
• You will develop datasets, pipelines, and client CDPs to ensure advanced segmentation, targeting, automation and analytics.
• You will improve SLA's of important data pipelines to improve efficiency and data quality.
• You will facilitate data integration and transformation requirements for moving data between applications.
• You will ensure interoperability of applications within our client platform(s) with CDP at the core.
• You will improve the current data architecture, data quality, monitoring, and data availability.
• You will analyze and communicate feasibility of use cases based on available data which involves evaluating large amounts of existing …