Data Engineer

Job Description

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. Show more Show less