Data Engineer

This is a 12 months contract with Giant Eagle. 100% remote. All visa. Must have very good communication.

TECHNICAL SKILLS

Must Have

Experience in software engineering development and testing life cycles using but not limited to Python, R, Linux, Java, JavaScript, Lambda, and SQL programming Experience leveraging RESTful web services to collect and publish data Expertise with databases experience such as BigQuery, Snowflake, and Synapse designing schema and dimensional data modeling Strong Experience building event driven systems using cloud technology: storage, Pub/Sub, cloud functions, API's, and DataProc Nice To Have

Experience with agile or other rapid application development methods a plus Retail industry experience a plus JOB DESCRIPTION

Data Engineer Marketing Data Platforms

Role Description

As a Contract Data Engineer on the Marketing Data Platforms 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 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, architects, technology teams, analysts, marketing operations specialists, and monetization business partners to understand capabilities that will be brought to life for Giant Eagle's 4M+ customers. The ideal candidate will have experience within multiple technology platforms (e.g. GCP, Engagement Platforms, Customer Data Platform, Ad-Tech, etc.) while providing the vision and design for integrating customer data. Additional key skills and qualifications are below:

Primary Job Responsibilities

5+ years of relevant technical experience working with various data engineerings methodologies such as data integration and data pipelines (ETL/ELT) to activate against data at scale. 3+ years of experience in data modeling for analytic projects activities that include design, curation, and management of large datasets 3+ years of experience developing big data technologies with Spark and Hive, preferably leveraging such as DataBricks, Juypter notebooks, or GCP, AWS, and Azure equivalent technology. 2+ years of experience in data solution design for data engineering pipelines Strong Experience building event-driven systems using cloud technology: storage, Pub/Sub, cloud functions, APIs, and DataProc Expertise with databases experiences such as BigQuery, Snowflake, and Synapse designing schema 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 Bachelor's degree in Computer Science, Mathematics, or other technical field or equivalent work experience. Advanced degree a plus Experience with Retail Media Networks and Ad Tech preferred Role Requirements

Architect, develop and implement end-to-end complex data projects and technical solutions by translating business requirements into technical solutions and data-flow architectures. Architect, 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, and operate stable and scalable dataflows from multiple marketing platforms into a cloud data lake for Ad Tech Experience building data visualization tools Tableau, PowerBI, and Looker with data modeling and Looker ML preferred 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 a data platform to: collect data, transform, enrich, unify, segment, and integrate data Strong adherence to data ethics rules around PII data sets Work collaboratively with IT teams, Performance Marketing team, and business leaders to ensure actionably is provided to 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