Data Engineer - ETL(Extract, Transform, Load) Job

YASH Technologies, Inc.; Pune District; On-site; INR 800,000 - 1,200,000; Full time

Job summary

YASH Technologies, Inc. in Pune, India, is hiring ETL professionals with 4-6 years of experience to design and implement scalable data pipelines using Databricks, GitHub, and AWS, and to optimize ETL workflows.

You will join a hyperlearning workplace that promotes flexible work arrangements, trust, transparency, and open collaboration, delivering robust data solutions for diverse clients.

Qualifications

• 4-6 years of experience in ETL
• Specialized in building scalable pipelines using Databricks and GitHub
• Experience optimizing ETL workflows in AWS environments

Responsibilities

• Design and implement scalable ETL data pipelines
• Optimize ETL workflows leveraging cloud native capabilities
• Collaborate with cross-functional teams on data integration

Skills

ETL pipelines

Databricks

GitHub

AWS

Tools

Databricks

GitHub

AWS

Job description

Location: Pune, IN Hyderabad, TG, IN Bangalore, KA, IN Indore, MP, IN, 452001 IN

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 ETL(Extract, Transform, Load) Professionals in the following areas :

Experience required: 4-6 years

• Specialized in building scalable pipelines using GitHub, optimizing ETL workflows using native Databricks capabilities and Amazon web services

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