Data Engineer Job

YASH Technologies, Inc.; Indore District; On-site; INR 800,000 - 1,400,000; Full time

Job summary

YASH Technologies, Inc. is seeking Data Engineering Professionals in Indore with 2-4 years of experience. You will contribute to backend data engineering, data modeling and ETL initiatives, shaping scalable data pipelines using Databricks, SQL and AWS.

Pharma domain exposure is a plus; Git and reporting skills are beneficial. We support an inclusive, hyperlearning culture with flexible work styles and collaborative teams.

Qualifications

• 2–4 years of experience in data engineering.
• Backend data engineering, data modeling and ETL are must-haves.
• Experience with Databricks, SQL and AWS is required.
• Pharma domain knowledge is a plus, Git experience is desirable.
• Reporting experience is a plus.

Skills

Backend data engineering

Data modeling

ETL

Databricks

SQL

AWS

Pharma domain

Git

Reporting

Tools

Databricks

SQL

AWS

Job description

Job 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 are 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 hireData 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