Data Engineer Job

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

Job summary

YASH Technologies, Inc. is hiring Data Engineering Professionals to work on backend data engineering, data modeling, and ETL in a modern data platform environment. Experience with Databricks, SQL, and AWS is required, with 2-4 years in similar roles. Pharma domain knowledge is a plus and Git experience is beneficial.

Our Hyperlearning workplace emphasizes flexible work arrangements, collaboration, and continuous learning to develop technical and leadership skills at pace.

Qualifications

• 2-4 years of experience in data engineering.
• Must have backend data engineering, data modeling, and ETL.
• Experience with Databricks, SQL, and AWS is required.
• Pharma domain experience is a plus.
• Version control with Git is a plus.
• Reporting experience is a plus.

Skills

Backend data engineering

Data modeling

ETL

Reporting experience

Tools

Databricks

SQL

AWS

Git

Job description

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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 hireData Engineering Professionals in the following areas :

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