Yash Technologies
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Indore · On-site · 5-8 Yrs · 17 hours 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
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
- Design and implement scalable data pipelines using AWS services
- Develop ETL workflows using AWS Glue, PySpark, and Python
- Build serverless data processing solutions using AWS Lambda
- Orchestrate workflows using AWS Step Functions
- Manage and optimize data storage in AWS S3
- Work with relational databases like AWS RDS (MySQL)
- Ensure data quality, validation, and governance
- Optimize performance and cost of data pipelines
- Debug and troubleshoot data-related issues
- Collaborate with cross-functional teams (Data Analysts, Architects, DevOps)
Qualifications
- 5 years of experience in data engineering / AWS development
- Strong proficiency in Python
- Hands-on experience with PySpark for large-scale data processing
- Expertise in AWS services:
- AWS Glue (ETL jobs)
- AWS Lambda
- AWS Step Functions
- AWS Athena
- AWS S3
- AWS RDS (MySQL)
- Strong knowledge of SQL and data querying
- Familiarity with IAM roles and AWS security best practices
- AWS Certification (e.g., AWS Certified Data Engineer / Developer)
- Experience with CI/CD pipelines and DevOps tools
- Familiarity with Docker / Kubernetes
- 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 11 October 2026
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