Data Engineering Consultant: Giant Eagle

Job Title

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:

Job Responsibilities:
  • 5+ 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.
  • 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 Client 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 Client 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
Education:
  • Bachelor's degree (computer science preferred)
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