Lead Cloud Platform Engineer role supporting enterprise data and analytics operations on Azure and Databricks. Combines DevOps automation, infrastructure-as-code, and reliability engineering to maintain platform security, availability, and operational excellence for global data teams.
Responsibilities
Design, build, and operate Azure DevOps CI/CD pipelines for code packaging, quality checks, and multi-environment deployments
Write and maintain Terraform modules for repeatable provisioning of Azure and Databricks platform components
Configure and troubleshoot RBAC, service principals, managed identities, secrets, and access controls across data services
Build monitoring, alerts, dashboards, and runbooks; lead incident response and root-cause analysis
Deploy and operationalize data ingestion pipelines, orchestration, and platform services with engineering teams
Requirements
Bachelor's or master's degree in computer science, engineering, or related technical discipline
5–7 years designing and supporting cloud data platforms, data warehouses, and modern data ecosystems
Hands-on expertise with Azure Databricks, Synapse Analytics, ADLS Gen2, Azure SQL, Data Factory, Key Vault, Unity Catalog
Experience implementing platform security controls, governance frameworks, and Azure data best practices
Proficiency in Terraform Infrastructure as Code and Azure DevOps CI/CD pipeline automation
... understand requirements and translate them into sustainable data and analytics solutions.- Contribute to architecture discussions and technology roadmaps supporting cloud and analytics platform evolution.- Mentor team members and share best practices related to SAP data engineering and analytics https://jobeax.com/link/3LmmcurJmbWKlfnw ...
... conventions that enable scalable self-service reporting. You will help create a data ecosystem where consumers trust and reuse what has been built. Job summary As an Analytics Solutions Associate within Analytics Engineering , you will build analytics-ready data models and a trusted semantic layer that standardizes business metrics. ...
... turn data into decisions through modern data platforms, BI and reporting, and applied https://jobeax.com/link/jehrzqgzRuScFUrx Overview :We are looking for a Data Engineer with hands-on Azure Synapse Analytics experience to design, build and optimize data pipelines and warehouse solutions for client analytics and BI projects. ...
Bangalore, भारत
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CRESCENDO GLOBAL LEADERSHIP HIRING INDIA PRIVATE LIMITED
... : - Bachelor's degree or higher in Statistics, Data Science, Computer Science, Business Analytics, or a related field (Required).- 8+ years of experience in data analytics, business intelligence, or claims reporting, with a demonstrated track record of leading reporting improvements end-to-end (Required).- Deep insurance ...
... with engineering teams to productionize https://jobeax.com/link/q9bNUZphEhm0aWnc Engineering & Analytics : - Work with large-scale structured and unstructured datasets.- Build feature engineering pipelines and data quality frameworks.- Ensure scalable and efficient data processing using cloud platforms and distributed computing ...
... legacy systems using SSIS, ensuring a 360-degree data view.2. Orchestration & Cloud Ecosystem :- Azure Integration : You will leverage Azure Data Factory and Data Lake Storage to orchestrate complex data movements from APIs, flat files, and on-premise databases.- Analytics Engineering : You will treat data as codeapplying ...
... computer science, data/software engineering, information systems, mathematics, physics, or related). - Approximately 6–8+ years of relevant experience in an IT, data engineering, automation, BI, or systems-/business-analytics role. - Strong hands-on Power Automate skills, including calling REST APIs from Power Automate . - ...
... Qualifications: • 10+ years of experience as a Lead Data Engineer. • Self-driven with minimal supervision. • Proven experience with T-SQL programming, Azure Databricks, Spark (PySpark/Scala), Delta Lake, Unity Catalog, ADLS Gen2 • Microsoft TFS, Visual Studio, Devops exposure. • Experience with cloud platforms such as ...
... Bachelor's degree in computer science, engineering, information systems, or an equivalent combination of education and relevant experience. - 10+ years of hands-on data engineering experience, including at least 2 years leading technical delivery or production operations. - Strong production experience with Cloud data technologies ...