Job Description\n\nAbout you\n\nYou are someone who wants to influence your own development. You’re looking for a company where you have the opportunity to pursue your interests and be able to grow professionally.\n\nYou bring to Applaudo the following competencies:\n- Bachelor’s degree or higher in Computer Science, Computer Engineering, related fields, or equivalent experience.\n- Strong proficiency in Transact-SQL (T‑SQL), query optimization, and performance tuning in SQL Server.\n- Experience with data storage solutions in Azure (Blob Storage, Data Lake, Azure SQL).\n- Knowledge of serverless architecture for data processing (e.g., Azure Functions, Event Grid).\n- Solid experience with Azure Data Factory and Logic Apps for data integration and automation.\n- Familiarity with Databricks for scalable data engineering.\n- Familiarity with data streaming architectures in Azure (Event Hubs, Stream Analytics).\n- Experience in data warehousing solutions and dimensional modeling using Azure Synapse or similar.\n- Understanding of CI/CD principles and version control for data pipelines.\n- English Full Professional Proficiency.\n\nYou will be accountable for the following responsibilities:\n- Develop, construct, test and maintain architectures and datasets that meet functional / non-functional business requirements.\n- Develop optimal data transformation processes, pipelines, data migration into useful, actionable information.\n- Coordinate the development with stakeholders, project managers, data architects, data analysts and others.\n- Store data in data structure defined.\n- Perform data explorations to know the data to be processed.\n- Identify ways to improve data reliability, efficiency and quality.\n- Deliver aggregated data to business executives, analysts and end users so they can analyze it and apply the results to improving business operations.\n- Prepare data for predictive and prescriptive modeling.\n\nQualifications\n\nStrong proficiency in Azure services.\n\nAdditional Information\n\nHere at Applaudo Studios values as trust, communication, respect, excellence and team work are our keys to success. We know we are working with the best and thus treat each other with respect and admiration without asking.\n\nWe truly appreciate all the hard and outstanding work our team makes every day at Applaudo Studios, and that's why the perks that we offer, are deeply thought and designed as a way to thank them for their commitment and excellence.\n\nSome of our perks and benefits:\n- Work from home\n- Flexible schedule\n- Celebrations\n- Special discounts\n- Entertainment area\n- Flexible work spaces\n- Great work environment\n- Private medical insurance\n\nBenefits may vary according to your location and/or availability. Request further information when applying.\n\nNível de experiência\n\nPleno-sênior\n\nTipo de emprego\n\nTempo integral\n\nFunção\n\nEngenharia\n\nSetores\n\nAtividades dos serviços de tecnologia da informação
Data Engineer (Azure) at Applaudo Studios
Brasil
Requirements
Education
- Bachelor's degree or higher in Computer Science
- Bachelor's degree or higher in Computer Engineering
- related fields
- equivalent experience
Experience
- Experience with data storage solutions in Azure
- Experience with Azure Data Factory and Logic Apps
- Experience in data warehousing solutions and dimensional modeling using Azure Synapse
Skills
- Transact-SQL
- query optimization
- performance tuning
- Azure Blob Storage
- Azure Data Lake
- Azure SQL
- Azure Functions
- Event Grid
- Azure Data Factory
- Logic Apps
- Databricks
- Event Hubs
- Stream Analytics
- Azure Synapse
- CI/CD
- version control
- English Full Professional Proficiency
Languages
- English
Responsibilities
- Develop, construct, test and maintain architectures and datasets that meet functional / non-functional business requirements.
- Develop optimal data transformation processes, pipelines, data migration into useful, actionable information.
- Coordinate the development with stakeholders, project managers, data architects, data analysts and others.
- Store data in data structure defined.
- Perform data explorations to know the data to be processed.
- Identify ways to improve data reliability, efficiency and quality.
- Deliver aggregated data to business executives, analysts and end users so they can analyze it and apply the results to improving business operations.
- Prepare data for predictive and prescriptive modeling.
Technologies
Transact-SQLAzure Blob StorageAzure Data LakeAzure SQLAzure FunctionsEvent GridAzure Data FactoryLogic AppsDatabricksEvent HubsStream AnalyticsAzure SynapseCI/CD
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