Posted:2 days ago| Platform: Foundit logo

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Job Description

Role: Data Analytical Engineer

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Purpose of the Role

The Data Engineer will play a critical role in delivering key milestones of the Procurement Data Lake Plan. This includes ingesting and transforming data from procurement systems, cleaning and organizing it in Snowflake, and creating dashboard-ready datasets for Sigma Computing. He will help ensure data reliability, reduce manual work, and enable automated insights for stakeholders across procurement, legal, and operations.

Key Responsibilities

ޠDesign, build, and maintain scalable ETL data pipelines.

ޠIngest, clean, and standardize data from Coupa, NetSuite, IntelAgree, Zip, ProcessUnity, and Monday.com.

ޠIntegrate data into Snowflake with appropriate schema and performance optimization.

ޠEnable real-time and scheduled analytics through Sigma Computing dashboards.

ޠCollaborate with procurement, legal, and data teams to meet milestone reporting needs.

ޠEnsure documentation of workflows, datasets, and dashboard requirements.

Technical Requirements

ޠAdvanced SQL for transformation and analytics use cases.

ޠProficiency in Python or R for data wrangling and automation.

ޠExperience using Airflow or similar tools for orchestration.

ޠStrong understanding of Snowflake or equivalent cloud data warehouse.

ޠProficiency in Sigma Computing/Tableau or similar BI tools: building dashboards, designing datasets, and user interactivity.

ޠFamiliarity with Git and version control best practices.

Preferred Qualifications

ޠBackground in procurement, finance, or legal analytics.

ޠExperience with procurement tools like Coupa, IntelAgree, Zip, Netsuite, and ProcessUnity.

ޠStrong stakeholder engagement and communication skills.

ޠAgile and milestone-driven project delivery experience.

Expected Deliverables

ޠAutomated data pipelines for spend contract, intake, and travel & expense data.

ޠCleaned, structured datasets stored in Snowflake.

ޠSigma dashboards that support milestone and executive reporting.

ޠDocumentation of data processes, schemas, and maintenance runbooks.

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