Module Lead - Azure Job

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 Azure Professionals in the following areas :

Experience

5-8 Years

Job Description

-Must Have-Databricks-Advanced PySpark, Spark SQL, Delta Lake, Unity Catalog, Databricks Workflows/Jobs, performance tuning -Must Have-Azure Data Factory-Pipeline development, orchestration, parameterisation, monitoring, error handling, incremental loading. -Must Have-SQL-Strong analytical SQL, data modelling, window functions, CTEs, performance optimisation -Must Have-Python-Production-quality Python, type hints, modular code, reusable libraries, testing -Must Have-Software Engineering Practices-Git, pull requests, code reviews, structured development practices -Must Have-CI/CD-Azure DevOps pipelines, deployment automation, environment promotion -Must Have-Data Pipeline Testing-Unit testing, integration testing, data quality validation -Must Have-Documentation & Maintainability-Well-structured code, clear naming conventions, reusable components, comprehensive documentation -Strongly Preferred-GitHub Copilot / AI-Assisted Development-Practical experience using AI coding assistants to accelerate delivery while maintaining quality. -Strongly Preferred-AI-Maintainable Coding Practices-Writing code that can be easily understood and extended by AI agents and future developers. -Strongly Preferred-Databricks AI Capabilities-Awareness of AI Functions, Genie, AI/BI Dashboards, Mosaic AI or similar capabilities. -Strongly Preferred-DataOps / Infrastructure-as-Code-Terraform, Bicep, Databricks Asset Bundles (DABs), deployment as code. -Strongly Preferred-Prompt Engineering for Development-Ability to specify requirements effectively for AI-assisted coding workflows. -Preferred-Docker-Containerising Python applications and services -Preferred-Kubernetes Literacy-Basic understanding of Kubernetes concepts and deployment patterns -Preferred-DevOps Practices-Ability to deploy and support own solutions with minimal platform team involvement -Preferred-Power BI-Azure-connected reporting, gateway configuration, scheduled refresh -Nice to Have-Basic Geoscience Domain Knowledge Drillhole, geochemistry, geoscience data structures and workflows. -Nice to Have-Workflow Orchestration-Argo Workflows orchestration. -Nice to Have-Data Governance & Metadata-Data cataloguing, lineage and metadata management