Yash Technologies
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Bengaluru · On-site · 2-5 Yrs · 2 days ago
Information Technology Support Services · 5001 to 10000 Employees · East Moline, US
YASH Technologies is a leading systems integrator and outsourcing partner that focuses on empowering its customers to drive enterprise-wide business transformation at scale. With a presence across six continents, a talented team of consulting professionals, and a comprehensive NextGen service portfolio, YASH is large enough to transform and small enough to care, earning it the trust of 75+ Fortune 500 corporations globally. As a high-performing enterprise, YASH looks forward to engaging with talent that has the technical expertise, solution orientation, unrelenting passion, and willingness to do MORE in everything. Its foundational principles, the 5 pillars of Customer Centricity, Employee Focus, Innovation, Agility and Trust, is ingrained in a YASHians DNA and imbibed in everything they do, keeping them inspired and motivated to engage with customers and serve society. This highly engaged work culture has won YASH a title of “Great Place To Work”, 7 years in a row."
Hiring: Engineering
What employees say
+ very nice company, good facility, coffee machines where nice too
− got through connections however there was no attention or actual thing done in internship
More reviews on the company profile.
Interview experience · Data Scientist
The interview primarily focused on Python fundamentals, hands-on project experience, and basic coding skills. The Python section covered core concepts such as data structures (lists, dictionaries, tuples, sets), function
Average difficulty · India · 395 reports
More interview insightsJob description
Overview
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.
Responsibilities
- • 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
Qualifications
- Strong Data Engineering resource with hands-on experience in AWS cloud services, particularly S3, Glue, Step Functions, and Airflow. Experience with API-based data ingestion and building/maintaining data pipelines will be important for the role. Business / Data Context
- A basic understanding of customer engagement data would be beneficial, including PLD, non-PLD, field data, and third-party media/vendor data. This is a good-to-have rather than a prerequisite, as Aditya can provide the necessary KT and context.
- Work directly and independently with Guardant’s data engineering team, supporting their ongoing data engineering initiatives.
- 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
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Job application FAQ
Last updated 18 September 2026
- How do I apply for Data Engineer - AWS+Glue Job at Yash Technologies?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Yash Technologies may attach structured assessments to interview rounds after you apply.
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- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Data Engineer - AWS+Glue Job remote or on-site in Bengaluru, Karnataka?
- This listing is marked on_site with location Bengaluru, Karnataka. Confirm details on the job description before applying.
- What skills matter for this Data Engineer - AWS+Glue Job role at Yash Technologies?
- This is a mid-level Data Engineer - AWS+Glue Job role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.