| Hyderabad Jobs |
| Banglore Jobs |
| Chennai Jobs |
| Delhi Jobs |
| Ahmedabad Jobs |
| Mumbai Jobs |
| Pune Jobs |
| Vijayawada Jobs |
| Gurgaon Jobs |
| Noida Jobs |
| Hyderabad Jobs |
| Banglore Jobs |
| Chennai Jobs |
| Delhi Jobs |
| Ahmedabad Jobs |
| Mumbai Jobs |
| Pune Jobs |
| Vijayawada Jobs |
| Gurgaon Jobs |
| Noida Jobs |
| Oil & Gas Jobs |
| Banking Jobs |
| Construction Jobs |
| Top Management Jobs |
| IT - Software Jobs |
| Medical Healthcare Jobs |
| Purchase / Logistics Jobs |
| Sales |
| Ajax Jobs |
| Designing Jobs |
| ASP .NET Jobs |
| Java Jobs |
| MySQL Jobs |
| Sap hr Jobs |
| Software Testing Jobs |
| Html Jobs |
| Job Location | Bengaluru/ Bangalore (Karnataka), Pune (Maharashtra), Hyderabad/ Secunderabad (Telangana), Indore (M |
| Education | Any Graduate |
| Salary | As per Industry Standards |
| Industry | Software Services, IT-Software |
| Functional Area | IT Software : Software Products & Services |
| EmploymentType | Full-time |
Module Lead - Azure Databricks JobDate: Mar 26, 2025Job Requisition Id: 60723Location: Hyderabad, TG, IN; Pune, MH, IN; Pune, IN; Indore, IN; Bangalore, KA, INYASH 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, were 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 Databricks Professionals in the following areas:Experience6-8 YearsShould have good hands-on Azure services and Databricks and should have strong knowledge in medallion architecture.Python and PySparkAt 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:
Keyskills :
azure services databricks expertise python proficiency pyspark knowledgemedallion architecture