Hybrid Data Engineer Grocery Data Platforms bei Giant Eagle

Job Summary

As a Data Engineer on the Grocery Data team, you will be working on a team to bring data-centric applications to life. In this role, you will be empowered to develop data solutions in support of eCommerce platform analytics, data science, and business partners to understand capability requirements and develop data solutions based on priorities. This leading technical and architecture role will collaborate with product managers, technology teams, analysts, marketing operations specialists, and business partners to understand capabilities and that will be brought to life for Giant Eagle’s 4M+ customers. The ideal candidate will have experience within multiple technology platforms (e.g. AWS, Airflow, Databrick, Customer Data Platform, Loyalty, etc.) while providing the vision and design for integrating customer data.

PLEASE NOTE ONLY CANDIDATES RESIDING IN EASTER CANADA WILL BE CONSIDERED FOR THIS POSITION.

Job Description

Key Competencies

· 3+ 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, Airflow preferably leveraging, or Lambda functions and AWS technology.

· Expertise with relational and NoSQL databases (Oracle, mySQL, Redshift, Dynamo DB) experience with schema design and data modeling

· Experience leveraging API’s, 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

· Bachelor's degree in Computer Science, Mathematics, or other technical field or equivalent work experience. Advanced degree a plus

· General understanding of statistics

Primary 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
• Experience with agile or other rapid application development methods a plus
• Retail industry experience a plus
• Education Required: Bachelor’s degree in computer science or related field.

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