Data Engineer Job
At a glance
Mid-level Data Engineering role at Yash Technologies. Pune.
Pay not stated Data Engineering salary
dataroles summary, based on the employer's posting.
What you'll do
- Build backend data engineering solutions, including data models and solution designs
- Develop ETL processes to move and transform data
- Use Databricks, SQL and AWS in your data engineering work
What you bring
- You have two to four years of experience in data engineering
- You bring backend data engineering, data modeling, solution design and ETL experience
- You can work with Databricks, SQL and AWS
Who this fits
This role suits a mid-level data engineer with hands-on backend, modeling and ETL experience. Pharma experience, Git version control and reporting experience are listed as useful extras.
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 Data Engineering Professionals in the following areas :
Job descriptiion:
Experience required: 2-4 years
- Backend data engineering (must have)
- Data modeling & solution design (must have)
- ETL (must have)
- Databricks, SQL, AWS (must have)
- Pharma domain (good to have)
- Version Control - Git (good to have)
- Reporting experience (good to have)
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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Data Engineering
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