Data Engineer - Python Job
Bangalore, KA, IN Bangalore, KA, IN
YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation.
At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future.
We are looking forward to hire Python Professionals in the following areas :
Job description:
Experience required: 5-12 years
Role purpose
Create the governed, reliable data foundation required by both AI agents, ensuring that structured and unstructured enterprise information can be securely retrieved, combined, and used at production scale.
Key responsibilities
Build and operate data pipelines, connectors, and retrieval layers for historical RFQs and quotes, product specifications, BOMs, part numbers, costs, customer history, contracts, pricing, margins, complaints, opportunities, and market intelligence. Integrate sources such as Palantir Foundry, ERP, Salesforce, SharePoint, Teams, and Outlook; establish data models, quality controls, lineage, metadata, access permissions, refresh processes, and controlled system write-back where required.
Skills & capabilities
Experience building production data platforms and pipelines; strong skills in Python, SQL, APIs, Spark or Polars, data modeling, data quality, security, and access controls.
Preferred requirements
Experience with Palantir Foundry, product and BOM master data, ERP and Salesforce integration, commercial and market data, Microsoft 365 sources, unstructured-document processing, governed retrieval, data lineage, and controlled CRM write-back.
At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale.
Our Hyperlearning workplace is grounded upon four principles
- Flexible work arrangements, Free spirit, and emotional positivity
- Agile self-determination, trust, transparency, and open collaboration
- All Support needed for the realization of business goals,
- Stable employment with a great atmosphere and ethical corporate culture