Senior Data Engineer at Procter & Gamble Company

Warsaw, Masovian Voivodeship, Poland

Procter & Gamble Company Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Consumer GoodsIndustries

Requirements

  • Azure Databricks
  • Azure (Data Factory, Data Lake, Web App, Logic Apps)
  • Python / PySpark / Apache Spark
  • SQL
  • Optional: Mongo DB
  • Demonstrates breadth of applied IT skills across at least two IT job profiles
  • Applies Integrated Risk Management, IT Operations, IT Project Management, and Enterprise Architecture skills relevant to the work
  • Requires at least two relevant roles and experience managing or influencing people or organizations to achieve significant IT outcomes
  • Defines strategy and leads the delivery and transformation of business outcomes through IT within major sub-OU services, products, or programs
  • Preferred Industry Certifications: Azure Data Engineer, Databricks Certified Data Engineer, Spark Developer Associate, Azure Fundamentals, Azure Data Fundamentals

Responsibilities

  • Assemble large complex data sets which meet functional and non-functional business requirements
  • Partner with data asset managers, architects, and development leads to ensure a technical solution provides data which is fit for use and in line with architecture blueprints
  • Contribute to and leverage coding standards and best practices to ensure services and components are efficient and reusable
  • Identify, design, and implement internal process improvements
  • Design, develop, and implement data and analytics Microsoft Azure Databricks Platform and pipelines that acquire, cleanse, transform, and publish data from a wide variety of sources

Skills

Azure Databricks
Azure Data Factory
Azure Data Lake
Azure Web App
Azure Logic Apps
Python
PySpark
Apache Spark
SQL
MongoDB

Procter & Gamble Company

About Procter & Gamble Company

N/AHeadquarters
N/AYear Founded
N/ACompany Stage

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