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YASH Technologies
YASH Technologies
5,001 – 10,000 Employees
H1B Visa SponsorConsultingHealthcareLogistics
YASH Technologies is a global technology services and outsourcing company that helps organizations modernize operations and improve productivity. Its work spans digital transformation, artificial intelligence and automation, cloud services, cybersecurity, IoT, application management, and enterprise consulting. The company also supports SAP implementation and cloud transformation initiatives, serving organizations across sectors including consulting, healthcare, and logistics. Its teams deliver tailored technology solutions with an emphasis on practical business outcomes and customer success.
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Associate Technical Architect, Databricks — Pune On-site

Architect AWS and Databricks Lakehouse platforms for YASH Technologies, developing governed data pipelines and GenAI solutions with Python, PySpark, and SQL.

INIndiaOn-siteFull-timeSeniorLeadEnglish RequiredBackend EngineerSoftware Engineer
Amazon RedshiftAWSDynamoDBETLPySparkPythonSQLUnity

Description

  • Create and refine scalable data pipelines across AWS and Databricks
  • Develop and administer Lakehouse architectures built on Delta Lake, Iceberg, and Unity Catalog
  • Establish governance practices covering data quality, lineage, metadata, and security
  • Build ETL and ELT workflows with Python, PySpark, and SQL
  • Deliver GenAI capabilities such as RAG chatbots and AI agents
  • Apply Context Engineering and semantic search methods to strengthen AI performance
  • Partner with architects, data scientists, and business stakeholders on enterprise data initiatives
  • Maintain platform scalability, performance, reliability, and cost efficiency

Requirements

  • At least 10 years of professional experience
  • Hands-on experience with AWS analytics services, including S3, Glue, Athena, Redshift, Lake Formation, Lambda, DataZone, and DynamoDB
  • Practical experience with Databricks technologies including Delta Lake, Iceberg, Unity Catalog, Delta Live Tables, MLflow, Mosaic AI, Vector Search, Genie Agent, and Genie One
  • Strong command of Python, PySpark, and SQL
  • Working knowledge of ETL and ELT, data modeling, data warehousing, Lakehouse Architecture, and Medallion Architecture
  • Understanding of data quality, lineage, metadata management, cataloging, observability, and security
  • Experience with AWS Bedrock, SageMaker, RAG, Context Engineering, Semantic Search, AI agents, and LLM orchestration

Benefits

  • Flexible working arrangements
  • Structured models for career-focused skill development
  • Opportunities for continuous learning, unlearning, and relearning
  • Stable employment
  • Inclusive team culture
  • Collaborative working environment
  • Support aligned with achieving business objectives
  • Positive workplace atmosphere and ethical corporate culture

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