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Data Engineer, Python
YASH Technologies. Create the governed, reliable data foundation required by AI agents .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and operating data platforms and pipelines, with strong proficiency in Python and SQL. Capable of integrating various data sources and ensuring data quality, security, and compliance.
Highest-signal resume keywords
Python ProgrammingSQL ProficiencyData Pipeline DevelopmentData ModelingAPI Integration
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data QualityData LineageUnstructured-Document ProcessingControlled CRM Write-BackSparkPolars
Tools & Technologies
Palantir FoundryERPSalesforceMicrosoft 365SharePointTeamsOutlook
Industry Keywords
Governed RetrievalProduction Data PlatformsBOM Master DataCommercial DataMarket Intelligence
Tech Stack
Tools & technologiesERPPythonSparkSQL
About the role
Key responsibilities & impact- Create the governed, reliable data foundation required by AI agents
- Enable structured and unstructured enterprise information to be securely retrieved, combined, and used at production scale
- Build and operate data pipelines, connectors, and retrieval layers
- Work with historical RFQs and quotes, product specifications, BOMs, part numbers, costs, customer history, contracts, pricing, margins, complaints, opportunities, and market intelligence
- Integrate sources including Palantir Foundry, ERP, Salesforce, SharePoint, Teams, and Outlook
- Establish data models, quality controls, lineage, metadata, access permissions, and refresh processes
- Implement controlled system write-back where required
Requirements
What you’ll need- 5–12 years of experience
- Experience building production data platforms and pipelines
- Strong skills in Python
- Strong skills in SQL
- Experience with APIs
- Experience with Spark or Polars
- Experience with data modeling
- Experience with data quality
- Knowledge of security and access controls
- Preferred: Experience with Palantir Foundry
- Preferred: Experience with product and BOM master data
- Preferred: Experience with ERP and Salesforce integration
- Preferred: Experience with commercial and market data
- Preferred: Experience with Microsoft 365 sources
- Preferred: Experience with unstructured-document processing
- Preferred: Experience with governed retrieval
- Preferred: Experience with data lineage
- Preferred: Experience with controlled CRM write-back
Benefits
Comp & perks- Flexible work arrangements
- Inclusive team environment
- Career-oriented skilling models
- Continuous learning, unlearning, and relearning opportunities
- Agile self-determination, trust, transparency, and open collaboration
- Support needed for realization of business goals
- Stable employment
- Ethical corporate culture
- Great atmosphere