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 contemporary 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 Our Hyperlearning workplace is grounded upon four principles
Adaptable work arrangements, Free spirit, and emotional positivity
Agile self-determination, trust, transparency, and open collaboration
All Support needed for the realization of business goals,
Reliable employment with a great atmosphere and ethical corporate culture

📌 Module Lead Aws Databricks Genai Pune
🏢 Yash Technologies
📍 Pune