Remote: Remote

About KagoolKagool is a global IT services and consulting company specialising in enterprise digital transformation, with strong expertise across SAP delivery, data management, cloud modernisation, analytics, AI, and managed services. We help organisations unlock more value from their ERP and data platforms through end-to-end consulting, delivery, integration, migration, and support services.Our partnerships with leading technology providers such as Microsoft, SAP, Databricks, Google, AWS, Oracle, and other strategic partners enable us to deliver scalable, secure, and innovative solutions for complex enterprise environments. Kagool serves customers across multiple regions, with a presence across three continents and several countries, supporting clients globally with reliable delivery capability and 24/7 coverage.Role OverviewWe are seeking a highly skilled Azure Data Engineer with strong experience in building scalable data solutions on Microsoft Azure. The ideal candidate should have hands-on expertise in designing, developing, and optimizing data pipelines and data architectures using Azure-native tools.Key ResponsibilitiesDesign, build, and maintain scalable data pipelines using Azure servicesDevelop and optimize ETL/ELT processes using Azure Data Factory (ADF) and Azure Synapse AnalyticsWork with structured and unstructured data for ingestion, transformation, and storageImplement data solutions using Azure Data Lake, Blob Storage, and SQL DatabaseCollaborate with data scientists, analysts, and stakeholders to support analytics use casesPerform data modeling (both relational and dimensional models)Ensure data quality, governance,



and security best practicesMonitor and troubleshoot data pipeline performanceImplement CI/CD pipelines and automation for data workflowsRequired Experience (Minimum 5+ Years)5+ years in Data Engineering / Data Warehousing / Big DataAt least 3+ years of hands-on experience in Azure Data PlatformStrong experience with:Azure Data Factory (ADF)Azure Synapse Analytics / SQL Data WarehouseAzure Data Lake Storage (ADLS Gen2)Experience in ETL/ELT pipeline developmentProficiency in SQL and Python or Py SparkHands-on experience with big data processing frameworks (Spark preferred)Experience in designing data warehouses, data marts, and lakehouse architecturesFamiliarity with Dev Ops practices (Azure Dev Ops, CI/CD pipelines)Mandatory CertificationsCandidates must possess the following certifications:Microsoft Certified: Azure Data Engineer Associate (DP-203) (Highly Mandatory / Preferred)Azure Data Fundamentals (DP-900) + relevant project experienceDatabricks Certified Data Engineer Associate / ProfessionalRequired SkillsAzure Data Services: ADF, Synapse, ADLS, DatabricksProgramming: Python / Py Spark / SQLData processing: Batch & streamingData modeling and warehousing conceptsExperience with Power BI (nice to have)Strong debugging and performance tuning skillsKnowledge of data security and governanceSoft SkillsStrong communication skills (essential for remote work)Ability to work in global teams across UK/US stakeholdersProblem-solving mindsetAbility to work independently in a fast-paced environmentPreferred Candidate ProfileImmediate joiners or candidates with short notice period (≤15 days)Experience working in international client environmentsPrior experience in remote/distributed teamsExposure to Agile/Scrum methodologiesCareer at KagoolA career at Kagool offers a progressive and growth-focused environment where talented professionals can work on meaningful enterprise transformation programmes. Employees have plenty of opportunities to collaborate with global teams, contribute to innovative solutions, and develop expertise across modern data, cloud, SAP, AI, and analytics technologies. We encourage continuous learning, upskilling, and career progression, giving team members the chance to take ownership, expand their capabilities, and grow along with the business.

📌 Azure data engineer (Mumbai)
🏢 Kagool
📍 Mumbai