Data Engineer

As a Data Engineer on the Customer Loyalty & Experience team, you will be working on a team to bring customer-centric personalization to life. In this role, you will be empowered to develop data solutions in support of marketing analytics and data science by engaging with project managers, technology teams, analysts, and business partners to understand capability requirements and develop data solutions based on priorities.

Key Competencies:

• Experience Required: 1 to 3 years work experience as a data engineer.
• 2+ years of relevant technical experience working with various data engineering methodologies such as data integration and data pipelines (ETL/ELT) to activate against data at scale.
• 2+ years of experience of data modeling for analytic projects activities that include design, curation, and management of large datasets.
• Strong experience developing on big data technologies with Spark and Hive, preferably leveraging DataBricks, Juypter notebooks, or equivalent technology.
• Expertise with relational databases (Oracle, SQL Server) experience with schema design and dimensional data modeling.
• Experience leveraging RESTful web services to collect and publish data.
• Experience in software engineering development and testing life cycles using but not limited to Python, R, Linux, Java, JavaScript, Lambda, and SQL programming
• Education Required: Bachelors Degree in Computer Science, Mathematics, or other technical field or equivalent work experience.

Job Responsibilities:

• Develop and implements end-to-end complex data projects and technical solutions through translating business requirements into technical solutions and data-flow architectures.

• Build and automate data pipelines that clean, transform, and aggregate unorganized data into data sources that are ready for analysis.

• Use expertise to apply various analytic methods to discover and interpret information about customer behavior from multiple data sources to implement analytics solutions

• Use expertise in database design to implement, operate stable and scalable dataflows from multiple systems into and out of data lake and customer data platform

• Design, implement and deploy data applications and mechanisms using big data technology

• Provides subject matter expertise for multiple projects concurrently through all phases of the development lifecycle.

• Develop, enhance, govern, and administer for customer data platform to: collect data, transform, enrich, unify, segment, and integrate customer data

• Work collaboratively with IT teams, eCommerce teams, analytics teams, and business leaders to ensure actionable is provided key stakeholders

• Research and analyze customer behavior data to improve customer experience