Data Engineer - AWS+Glue Job
Yash Technologies Bangalore, Karnataka, India
IT Services and IT Consulting · 5,001-10,000 employees
About the role
The role involves building and maintaining data pipelines and managing API-based data ingestion. The engineer will work independently with the data engineering team to support ongoing initiatives.
What they look for
Requirements
Candidates need 2-5 years of experience with AWS cloud services, specifically S3, Glue, Step Functions, and Airflow. A basic understanding of customer engagement and third-party media data is beneficial.
Benefits
Full description
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 AWS Professionals in the following areas :
Job description:
Experience required: 2-5 years.
- 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.
Project Setting:
- Work directly and independently with Guardant’s data engineering team, supporting their ongoing data engineering initiatives.
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
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