R&D Junior Data Engineer
PepsiCoIreland20 hours ago
Full-timeEngineering, Information Technology
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Overview
The R&D Data Engineering team focuses on the development of Data Pipelines sourcing data from PepsiCo’s diverse Applications by bringing together innovative ideas and making a direct impact on our ability to drive business action through the provision data insights.
The role is for a Data Engineer who will work across the breadth of our Pipelines within the R&D Data Engineering team on our Data Platform on the Azure Data Stack.
Responsibilities
The role includes but is not limited to:
The R&D Data Engineering team focuses on the development of Data Pipelines sourcing data from PepsiCo’s diverse Applications by bringing together innovative ideas and making a direct impact on our ability to drive business action through the provision data insights.
The role is for a Data Engineer who will work across the breadth of our Pipelines within the R&D Data Engineering team on our Data Platform on the Azure Data Stack.
Responsibilities
The role includes but is not limited to:
- Data ingestion (sourcing) (Azure Data Factory)
- Data transformation (harmonisation, standardisation. cleansing) (Azure Databricks)
- Data modelling
- Report development (Power BI)
- Azure Data Factory (ADF), Databricks pipeline development
- ADF, Databricks Pipeline troubleshooting and implementing corrective actions.
- Developing & implementing analytic solutions that deliver, as much as possible, self-service analytics solutions leveraging available datasets
- Collaborate with team members on data product deliverables across the R&D Data Platform.
- Participate in agile process activities, including daily standups and retrospectives where applicable
- Collaborate with our Enterprise Data Analytics IT partners to translate business needs to actionable technical briefs against which solutions can be identified/developed.
- Where relevant lead &/or support proof of concept pilots of analytics solutions to assess effectiveness in meeting business needs.
- Provide analytical support for key R&D strategic initiatives and complex, high-profile projects; planning and scoping several inter-related initiatives and helping senior-level business stakeholders make informed decisions.
- 3rd level qualification in Numeric/Mathematical discipline (e.g. Data Science, Computer Science, Mathematics, Engineering, Business Information Systems, Software Development), with a good understanding of data analytics.
- Technical skills including SQL, Python
- Exposure to one or more of the following: Azure, AWS, GCP data platform technologies
Key Skills
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