Saxon Global
Data Engineer
Saxon Global, Pittsburgh, Pennsylvania, us, 15289
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 programmingExperience leveraging RESTful web services to collect and publish dataExpertise with databases experience such as BigQuery, Snowflake, and Synapse designing schema and dimensional data modelingStrong Experience building event driven systems using cloud technology: storage, Pub/Sub, cloud functions, API's, and DataProcNice To Have
Experience with agile or other rapid application development methods a plusRetail industry experience a plusJOB 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 datasets3+ 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 pipelinesStrong Experience building event-driven systems using cloud technology: storage, Pub/Sub, cloud functions, APIs, and DataProcExpertise with databases experiences such as BigQuery, Snowflake, and Synapse designing schema and dimensional data modelingExperience 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 programmingBachelor's degree in Computer Science, Mathematics, or other technical field or equivalent work experience. Advanced degree a plusExperience with Retail Media Networks and Ad Tech preferredRole 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 solutionsUse expertise in database design to implement, and operate stable and scalable dataflows from multiple marketing platforms into a cloud data lake for Ad TechExperience building data visualization tools Tableau, PowerBI, and Looker with data modeling and Looker ML preferredDesign, implement, and deploy data applications and mechanisms using big data technologyProvides 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 dataStrong adherence to data ethics rules around PII data setsWork collaboratively with IT teams, Performance Marketing team, and business leaders to ensure actionably is provided to key stakeholdersResearch and analyze customer behavior data to improve customer experienceExperience with agile or other rapid application development methods a plusRetail industry experience a plus
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 programmingExperience leveraging RESTful web services to collect and publish dataExpertise with databases experience such as BigQuery, Snowflake, and Synapse designing schema and dimensional data modelingStrong Experience building event driven systems using cloud technology: storage, Pub/Sub, cloud functions, API's, and DataProcNice To Have
Experience with agile or other rapid application development methods a plusRetail industry experience a plusJOB 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 datasets3+ 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 pipelinesStrong Experience building event-driven systems using cloud technology: storage, Pub/Sub, cloud functions, APIs, and DataProcExpertise with databases experiences such as BigQuery, Snowflake, and Synapse designing schema and dimensional data modelingExperience 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 programmingBachelor's degree in Computer Science, Mathematics, or other technical field or equivalent work experience. Advanced degree a plusExperience with Retail Media Networks and Ad Tech preferredRole 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 solutionsUse expertise in database design to implement, and operate stable and scalable dataflows from multiple marketing platforms into a cloud data lake for Ad TechExperience building data visualization tools Tableau, PowerBI, and Looker with data modeling and Looker ML preferredDesign, implement, and deploy data applications and mechanisms using big data technologyProvides 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 dataStrong adherence to data ethics rules around PII data setsWork collaboratively with IT teams, Performance Marketing team, and business leaders to ensure actionably is provided to key stakeholdersResearch and analyze customer behavior data to improve customer experienceExperience with agile or other rapid application development methods a plusRetail industry experience a plus