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

YASH Technologies; Maharashtra; On-site; INR 700,000 - 1,000,000; Full time

Job summary

YASH Technologies seeks ETL professionals with 4-6 years of experience to design and optimize scalable data pipelines using GitHub, Databricks, and AWS. Based in Maharashtra, you will join a learning‑driven, inclusive team committed to rapid upskilling and delivery excellence.

Our hyperlearning workplace emphasizes flexible work arrangements, collaborative culture, and strong support for realizing business goals, with stability and ethical corporate values.

Qualifications

• Experience required: 4-6 years in ETL or data integration roles.
• Specialized in building scalable pipelines using GitHub, optimizing ETL workflows using Databricks and AWS.
• Knowledge of data warehousing concepts and cloud data services is a plus.

Responsibilities

• Design and optimize scalable ETL pipelines for data ingestion and transformation.
• Collaborate with data engineers and analysts to ensure data quality and reliability.

Skills

ETL development

GitHub

Databricks

AWS

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’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 :

Job Description

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