Data Engineer - Python Job
At a glance
Mid-level Data Engineering role at Yash Technologies. Bangalore.
Pay not stated Data Engineer salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and run pipelines, connectors and retrieval systems for RFQs, quotes, product and customer records, pricing, contracts and market intelligence
- Bring together data from Palantir Foundry, ERP, Salesforce, SharePoint, Teams and Outlook
- Set up data structures and controls for quality, lineage, metadata, permissions and refreshes
- Support carefully governed write-back to source systems when the work calls for it
What you bring
- Five to twelve years of experience building production data platforms and pipelines
- Strong working skills in Python, SQL, APIs, Spark or Polars, data modeling, data quality, security and access controls
Who this fits
This mid-level role suits a data engineer who can build dependable production pipelines and manage governed access to structured and unstructured information. The stated experience range is five to twelve years.
From the employer
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
Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.
Each morning you get everything that fits, strongest first.
Data Engineering
Find me workBy the team behind dataroles.