Module Lead - AWS Databricks GenAI Job

YASH Technologies; Pune District; On-site; INR 900,000 - 1,400,000; Full time

Job summary

YASH Technologies, Inc. is hiring a Data Engineer to design and optimize data pipelines on AWS and Databricks, building robust Lakehouse architectures. The role focuses on data governance, security, and scalable solutions in a GenAI-enabled environment.

You will collaborate with data scientists, architects, and business stakeholders to deliver enterprise-grade data platforms, ensuring performance, reliability, and cost efficiency across projects.

Qualifications

• 5+ years of data engineering experience.
• Experience designing scalable data pipelines on AWS & Databricks.
• Proficient in Python, PySpark, and SQL.
• Hands-on with data governance, metadata management, and security.

Responsibilities

• Design, develop, and optimize scalable data pipelines using AWS and Databricks.
• Build Lakehouse architectures with Delta Lake, Iceberg, Unity Catalog.
• Implement data governance: quality, lineage, metadata, security.
• Develop ETL/ELT using Python, PySpark, SQL.
• Design GenAI solutions including RAG chatbots and AI agents.
• Implement Context Engineering and semantic search.
• Collaborate with architects, data scientists, and stakeholders.
• Ensure scalability, performance, reliability, and cost optimization.

Skills

AWS Data Analytics

Databricks

Python

PySpark

SQL

Data Modeling

Data Warehousing

Lakehouse Architecture

Data Governance

GenAI

Tools

Delta Lake

Iceberg

Unity Catalog

Delta Live Tables

MLflow

Genie Agent

Genie One

Vector Search

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 Databricks Professionals in the following areas :

Data Engineer (AWS, Databricks & GenAI)

Key Roles & Responsibilities

• Design, develop, and optimize scalable data pipelines using AWS and Databricks.
• Build and manage modern Lakehouse architectures leveraging Delta Lake, Iceberg and Unity Catalog.
• Implement data governance capabilities including data quality, data lineage, metadata management, and data security.
• Develop ETL/ELT solutions using Python, PySpark, and SQL.
• Design and deploy GenAI solutions, including RAG-based chatbots and AI agents.
• Implement Context Engineering and semantic search frameworks to improve AI outcomes.
• Collaborate with architects, data scientists, and business stakeholders to deliver enterprise data solutions.
• Ensure platform scalability, performance, reliability, and cost optimization.

Key Skills

• AWS Data Analytics: S3, Glue, Athena, Redshift, Lake Formation, Lambda, DataZone, DynamoDB
• Databricks: Delta Lake, Iceberg, Unity Catalog, Delta Live Tables (DLT), MLflow, Mosaic AI, Vector Search, Genie Agent, Genie One
• Programming: Python, PySpark, SQL
• Data Engineering: ETL/ELT, Data Modeling, Data Warehousing, Lakehouse Architecture, Medallion Architecture
• Data Governance: Data Quality, Data Lineage, Metadata Management, Data Cataloging, Data Observability, Data Security
• AI & GenAI: AWS Bedrock, SageMaker, RAG, Context Engineering, Semantic Search, AI Agents, LLM Orchestration

Experience: 5+ Years

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