
Data Engineer
3 weeks ago
Title: Data Engineer Analytics
Exp: 7 Years to 10 Years.
Locations: Hyderabad & Pune.
Purpose of the Role
The Data Engineer Contractor 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. The contractor will help ensure data reliability, reduce manual work, and enable automated insights for stakeholders across procurement, legal, and operations.
Key Responsibilities
- Design, build, and maintain scalable ETL data pipelines.
- Ingest, clean, and standardize data from Coupa, Netsuite, IntelAgree, Zip, ProcessUnity, and Monday.com.
- Integrate data into Snowflake with appropriate schema and performance optimization.
- Enable real-time and scheduled analytics through Sigma Computing dashboards.
- Collaborate with procurement, legal, and data teams to meet milestone reporting needs.
- Ensure documentation of workflows, datasets, and dashboard requirements.
Technical Requirements
- Advanced SQL for transformation and analytics uses cases.
- Proficiency in Python or R for data wrangling and automation.
- Experience using Airflow or similar tools for orchestration.
- Strong understanding of Snowflake or equivalent cloud data warehouse.
- Proficiency in Sigma Computing/Tableau or similar BI tools: building dashboards, designing datasets, and user interactivity.
- Familiarity with Git and version control best practices.
Preferred Qualifications
- Background in procurement, finance, or legal analytics.
- Experience with procurement tools like Coupa, IntelAgree, Zip, Netsuite, and ProcessUnity.
- Strong stakeholder engagement and communication skills.
- Agile and milestone-driven project delivery experience.
Expected Deliverables
- Automated data pipelines for spend contract, intake, and travel & expense data.
- Cleaned, structured datasets stored in Snowflake.
- Sigma dashboards that support milestone and executive reporting.
- Documentation of data processes, schemas, and maintenance runbooks.
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