Data Engineer

By | October 11, 2022

Job Responsibilities : Data Engineer

Salary : $93700 per year

Company : PepsiCo

Location : Remote US

Overview


Position can be fully remote but individual must be 90 miles from office location in Mason OH Chicago IL Plano TX or Purchase NY

This position is a critical part of PepsiCo’s newly formed KAGR team (Kroger Analytics & Growth Resource). The KAGR team will drive incremental consistent and sustainable growth to PepsiCo and Kroger leveraging the power of our data science and intellect in support of JBP (Joint Business Planning) delivery and uncovering future demand terrains.

This individual will support the PepsiCo Kroger business agenda by maximizing data assets and leveraging that information to deliver solutions for driving actionable insights for the business. Key responsibilities will include standard ETL processes and the productionalization management and scaling of data science pipelines using data from PepsiCo Kroger & 8451.

Responsibilities


  • Active contributor to code development in projects and services.
  • Manage and scale data pipelines from internal and external data sources to support new product launches and drive data quality across data products.
  • Build and own the automation and monitoring frameworks that captures metrics and operational KPIs for data pipeline quality and performance.
  • Responsible for implementing best practices around systems integration security performance and data management.
  • Empower the business by creating value through the increased adoption of data data science and business intelligence landscape.
  • Evolve the architectural capabilities and maturity of the data platform by engaging with enterprise architects and strategic internal and external partners.
  • Develop and optimize procedures to “productionalize” data science models.
  • Define and manage SLA’s for data products and processes running in production.
  • Support large-scale experimentation done by data scientists.
  • Prototype new approaches and build solutions at scale.
  • Research in state-of-the-art methodologies.
  • Create documentation for learnings and knowledge transfer.

Qualifications


  • BA/BS in Computer Science Math Physics or other technical field preferred
  • 1+ years of overall technology experience that includes at least 1-2 years of hands-on software development data engineering or systems architecture.
  • 1-2 years of experience with Data Analytics tools and Data Warehousing
  • 1-2 years of experience in SQL optimization and performance tuning and development experience in programming languages like Python PySpark Scala etc.).
  • Cloud data engineering experience in Azure a plus
  • Experience with integration of multi cloud services with on-premises technologies preferred
  • Experience building/operating highly available distributed systems of data extraction ingestion and processing of large data sets preferred
  • Ability to understand and translate business requirements into data and technical requirements.
  • High degree of organization and ability to manage multiple competing projects and priorities simultaneously.
  • Positive and flexible attitude to enable adjusting to different needs in an ever-changing environment.
  • Self motivation to learn and grow technical skills

Note :
Covid-19 vaccination may be a condition of employment dependent on role and location. For specific information please discuss role requirements with the recruiter.

EEO Statement


All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin protected veteran status or disability status.

PepsiCo is an Equal Opportunity Employer: Female / Minority / Disability / Protected Veteran / Sexual Orientation / Gender Identity

If you’d like more information about your EEO rights as an applicant under the law please download the available EEO is the Law & EEO is the Law Supplement documents. View PepsiCo EEO Policy.

Please view our Pay Transparency Statement

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