Sr Software Engineer - AWS Databricks GenAI Job

YASH Technologies

Pune District

On-site

INR 2,500,000 - 4,000,000

Full time

34 hours ago
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Job summary

YASH Technologies in Pune, India is seeking a Data Engineer (AWS, Databricks & GenAI) to design, develop, and optimize scalable data pipelines using AWS and Databricks, and to build modern Lakehouse architectures with Delta Lake, Iceberg, and Unity Catalog.

The role focuses on data governance, ETL/ELT development with Python, PySpark, SQL, and deploying GenAI solutions including RAG chatbots and AI agents, collaborating with architects, data scientists, and stakeholders to deliver enterprise

Qualifications

  • Minimum 5+ years of experience in data engineering or related field.
  • Strong experience with AWS data services and Databricks.
  • Proficiency in Python, PySpark, and SQL.
  • Experience designing Lakehouse architectures and data governance.

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.

Skills

AWS Data Analytics
Databricks
Programming
Data Engineering
Data Governance
AI & GenAI

Tools

Delta Lake
Iceberg
Unity Catalog
MLflow
GenAI Tools

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’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 hireDatabricks 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


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