Azure Data Engineer:-1. At least 4 to 6 years of relevant experience in data engineering team with 2-3 years hands-onexperience in supporting Azure cloud technologies2. Hands-on Expertise in Azure Data Engineering tool stack primarily Azure Data Factory, Azure DataLake, logic Apps and Azure SQL,MPP (Azure Synapse)3. Deep knowledge and hands-on on creating Azure Databricks notebooks (Good knowledge onPySpark, Databricks SQL, Delta Lake concepts) or Synapse Spark4.Good understanding and exposure to Production Support of data integration and ETL systems withan understanding of SLAs, cross team collaboration and expectation setting.5.Good understanding and experience around Data Warehousing, ETL/ELT process, RelationalDatabases, Slowly changing dimension considerations etc.6.Should be familiar with Azure Synapse Workspace and good understanding of the Best practices forData Loading to various target systems like Azure Synapse, data lake etc from various source systems7.Understanding and able to build complex data transformation logic using Azure Databricks Pysparkfor structured, semistructured data with different formats8.Good understanding of No-SQL databases and experience with the same9.Good understanding of SQL, Can write stored procedures, CTE queries, functions, understanding ofnormalization10.Understanding of data loading from different source file formats (parquet, xml, json, csv etc),Experience with data Extraction from different data sources (Relational, FTP, SAP etc)11.Good understanding of security requirements of different Azure components12.Experience in best practices to resolve issues due to ingestion of varied data volumes by coderelated changes, optimal usage of clusters, partitioning and other methods13.Worked on 1-2 projects involving migration of large scale projects from On-Prem to cloud and alsohaving a decent understanding of remediation of performance issues14.Understanding of Devops (CI\CD processes for automated deployments) and as applicable fordata engineering (ADF, ADB, SQL deployments)15.Very good understanding of Agile to deliver consistent project outcome16.Very high data affinity and strong analytical skills17.Good understanding of data modelling concepts18.Analyzing and translating business needs into long-term solution data models19.Evaluating and analysis (reverse engineering) of existing data systems.20.Creation of Conceptual data models and data flows, Physical data models and data strategies20.Nice to have:- Certification in DP-203 (Microsoft Certified: Azure Data Engineer Associate),Databricks Data Engineering Certification

About Quickhyre AI

QuickHyre AI is an online job portal and HRMS software platform for hiring and workforce management, trusted by over 10 million active users. It connects freshers and experienced professionals across all career levels with verified job opportunities, while enabling companies to hire, onboard, and manage employees through a single system. Candidates use QuickHyre AI to search and apply for jobs across entry-level, mid-level, and senior roles, including internships and contract positions across tech and non-tech domains. Employers use QuickHyre AI as a hiring platform, applicant tracking system (ATS), and HRMS to post jobs, screen candidates, manage applications, onboard hires, and maintain employee records. Built for startups, growing companies, and enterprises, QuickHyre AI reduces irrelevant applications, improves hiring efficiency, and simplifies HR operations. By combining job discovery, online recruitment, and HR management software, QuickHyre AI supports end-to-end talent acquisition and workforce administration at scale.