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Remote Azure Stream Analytics Developers
in Brazil

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708 Remote Azure Stream Analytics developers and experts available to hire:

Azure Stream Analytics consultant - Fernando N.
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Fernando N.

Vetted Azure Stream Analytics developer in Brazil (UTC-3)

Results-driven Data Science/Engineer with a proven track record of leveraging data-driven insights to drive business growth and innovation. Proficient in a wide range of data analysis and machine learning techniques, with a strong foundation in programming, statistics, and data visualization. Experienced in designing and implementing end-to-end data pipelines, from data collection and preprocessing to model development and deployment. Adept at collaborating with cross-functional teams to solve complex problems and communicate findings effectively to both technical and non-technical stakeholders. Seeking an opportunity to apply my expertise in data science and engineering to contribute to the success of a forward-thinking organization.

AzurePythonMachine learningLLMSQLMySQLAmazon S3DockerTableauGraphQLSnowflakeAirflowGoogle Cloud PlatformAWSElasticsearchGoogle BigQuery
+9
Docker, Tableau, GraphQL, Snowflake, Airflow, Google Cloud Platform, AWS, Elasticsearch, Google BigQuery
Azure Stream Analytics coder - Marcus P.
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Marcus P.

Vetted Azure Stream Analytics developer in Brazil (UTC-3)

Inquisitive, results-driven, and ambitious Business Intelligence Engineer ready to create a better and more efficient global community via technology and data-driven insights. Professional with over 5 years of proven track record of achieving best-in-class results. A visionary with expertise in the following: • Strategic planning • Requirement engineering for BI projects • ELT / ETL (Pentaho Data Integration, Azure Data Factory, Python) • Dimensional modeling (Kimball) • SQL databases (MS SQL Server, MySQL) • Basic knowledge of NoSQL (Mongo, Neo4J) • Basic knowledge of Hadoop (HDFS, YARN, MapReduce), Spark (PySpark, SQL), and Delta Lake • R / SQL / M / DAX / Python • GitHub • Statistical analysis (descriptive, inferential, probability) • Dataviz tools (Power BI, Data Studio, ggplot2, matplotlib) • Data Storytelling

Data analytics • 7 yrsAzure Data FactoryAzureSQLPower BIExcelData modelingData VisualizationStatisticsPythonGitHubRPandasETLScrumRequirements GatheringDatabricksDAXSPSS
+12
Data Visualization, Statistics, Python, GitHub, R, Pandas, ETL, Scrum, Requirements Gathering, Databricks, DAX, SPSS
Azure Stream Analytics engineer - Arnoni R.
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Arnoni R.

Vetted Azure Stream Analytics developer in Brazil (UTC-3)

Technology professional with over 20 years of experience and an entrepreneur, I have worked on various projects across different business sectors, serving as a developer, analyst, and project manager. I founded my own company, where I developed an advanced platform for the corporate communications market. This venture provided me with valuable insights into areas such as marketing and sales, serving hundreds of clients. Additionally, I collaborate with international companies in the data field, from collection to final analysis. I have a special interest and expertise in data, with several relevant certifications such as AZ-900, DP-900, PL-300, and DP-203. My professional role involves structuring data for companies, including architecture, engineering, and data analysis. I have experience with technologies such as Azure, AWS, Power BI, SQL Server, MySQL, Snowflake, Python, DWs, and DevOps. Skills Data Engineering • SQL • Data Warehousing • Power BI • Business Analysis • Snowflake • Azure Data Factory • Databricks • Data Modeling • ETL/ELT • C# • Python Check my portfolio in [https://portfolio.sigeweb.com.br/](https://portfolio.sigeweb.com.br/)

Startup experienceAzure • 5 yrsAzure Blob StorageAzure Data FactoryAzure synapse analyticsData analyticsData modelingData warehouseSQLData architectureData VisualizationETLMySQLPostgreSQLSSISData analysisRequirements GatheringMicrosoft SQL ServerPentaho.NETPower BISnowflakeAirflowOracleProject managementSOA (Service-Oriented Architecture)Problem solving
+19
SQL, Data architecture, Data Visualization, ETL, MySQL, PostgreSQL, SSIS, Data analysis, Requirements Gathering, Microsoft SQL Server, Pentaho, .NET, Power BI, Snowflake, Airflow, Oracle, Project management, SOA (Service-Oriented Architecture), Problem solving
Azure Stream Analytics expert - Douglas C.
Douglas C.

Azure Stream Analytics developer in Brazil (UTC-3)

I am an Analytics Engineer with experience in developing scripts using Python, PySpark, SQL, and Scala. I have worked on cloud migration projects, data mesh, and data product development using various tools and platforms. My background includes roles as a Data Engineer and Data Analyst, where I have built data pipelines, maintained environments, and created dashboards using tools like Power BI, Tableau, and Mode Analytics. I hold certifications in Databricks, Microsoft, Oracle Cloud, and AWS, with academic qualifications in Big Data Science, Database Management, and Systems Analysis.

Azure • 5 yrsAzure synapse • 5 yrsAzure Data FactoryAzure synapse analyticsSQLETLPower BIData warehousePythonData EngineeringScalaAmazon S3Data analysisGoogle BigQueryAmazon RDSApache SparkAmazon RedshiftAirflowData LakeDataflowDatabricksDelta LakeAWSTableauApache HadoopGrafana
+19
Data warehouse, Python, Data Engineering, Scala, Amazon S3, Data analysis, Google BigQuery, Amazon RDS, Apache Spark, Amazon Redshift, Airflow, Data Lake, Dataflow, Databricks, Delta Lake, AWS, Tableau, Apache Hadoop, Grafana
Azure Stream Analytics engineer - Hudson S.
Hudson S.

Azure Stream Analytics developer in Brazil (UTC-3)

Senior Data Engineer with over 8 years of experience in data engineering and solution architecture for Big Data, data lakes, and cloud computing (AWS, Azure, GCP). Extensive experience with Snowflake, Databricks, and Spark, optimizing data pipelines and storage scalability to achieve significant improvements in efficiency and processing speed. Proven expertise in technical leadership and data strategy implementation, resulting in cost reductions exceeding 50% and productivity gains of up to 5x. Driven to transform data into valuable insights and collaborate with teams to develop robust, scalable data solutions.

Azure • 6 yrsAzure SQLAzure FunctionsAzure Blob StorageAzure Data FactoryAzure synapse analyticsAzure Data LakeSQLPythonDatabricksData modelingETLData warehouseAWSApache SparkGoogle Cloud PlatformApache KafkaScalaGitLabComposerGoogle BigQueryDataStageAWS CloudFrontAWS DynamoDBTerraformApache HadoopAWS LambdaAgileSnowflakeAirflowCI/CDAws glueDBTMongoDBJiraPower BICicd pipelinesDevOpsData Modelling
+32
SQL, Python, Databricks, Data modeling, ETL, Data warehouse, AWS, Apache Spark, Google Cloud Platform, Apache Kafka, Scala, GitLab, Composer, Google BigQuery, DataStage, AWS CloudFront, AWS DynamoDB, Terraform, Apache Hadoop, AWS Lambda, Agile, Snowflake, Airflow, CI/CD, Aws glue, DBT, MongoDB, Jira, Power BI, Cicd pipelines, DevOps, Data Modelling
Azure Stream Analytics expert - Giovani G.
Giovani G.

Azure Stream Analytics developer in Brazil (UTC-3)

Results-driven Analytics Engineer with certifications in Snowflake (SnowPro) and dbt (Analytics Engineer). Extensive expertise in data modeling, Data Lakehouse architecture, ETL/ELT pipeline development, CI/CD for data workflows, and data quality management. Strong background in building scalable, cost-effective, and high-performance analytics solutions across various industries, with a primary focus on banking and financial services. Proven ability to empower business users by designing analytical platforms that drive actionable insights. Conducted 20+ workshops for 250+ business users, enhancing their ability to utilize Snowflake and analytics tools effectively. Adept at optimizing data pipelines, improving performance, and implementing best practices to ensure data integrity, governance, and efficiency.

Startup experienceAzure • 3 yrsAzure Data FactoryAzure synapseSQLDBTSnowflakeData modelingETLPower BIPythonGitGitHubAirflowMicrosoft SQL ServerAlteryxDatabricksDAX
+10
ETL, Power BI, Python, Git, GitHub, Airflow, Microsoft SQL Server, Alteryx, Databricks, DAX
Azure Stream Analytics engineer - Túlio A.
Túlio A.

Azure Stream Analytics developer in Brazil (UTC-3)

Building robust backend systems and cloud infrastructure, primarily with .NET and AWS. Focus on efficient code, reliable APIs, and solving complex integration challenges. Proficient in .NET 8, ASP.NET Core, AWS (Lambda, SQS, etc.), and related technologies.

Azure Stream Analytics DeveloperSQLC#JavaAngularAWSAzureGoogle Cloud PlatformGraphQLShopifyMongoDBGoogle AnalyticsAnalyticsSpring BootCloudWatchHibernate 3WebhooksLambda functionsMySQLLinuxPostgreSQLJSF 2SybaseFirebirdPentahoGitSignalRSSMST-SQLKnockout.jsASP.NET Web API
+24
Google Cloud Platform, GraphQL, Shopify, MongoDB, Google Analytics, Analytics, Spring Boot, CloudWatch, Hibernate 3, Webhooks, Lambda functions, MySQL, Linux, PostgreSQL, JSF 2, Sybase, Firebird, Pentaho, Git, SignalR, SSMS, T-SQL, Knockout.js, ASP.NET Web API
Azure Stream Analytics expert - João G.
João G.

Azure Stream Analytics developer in Brazil (UTC-3)

AI, ML, and software development mentor with 10+ years of hands-on experience. Expert in [ Python, TensorFlow, React, etc.] and [ computer vision, natural language processing, etc.]. My methodology leverages empirically-validated learning frameworks that Fortune 500 executives and tech visionaries value. Rather than surface-level knowledge, you'll gain the strategic understanding and technical rationale that drives innovation—the same depth of insight that separates market leaders from followers. This isn't about code memorization; it's about mastering the decision architecture that powers technological advancement. I help developers and businesses with: - Solving complex technical challenges in real-world projects - Understanding advanced concepts in AI and software engineering - Accelerating professional growth with personalized feedback - Developing effective AI strategies aligned with business goals As a technical leader who has guided dozens of engineers and organizations through AI implementation, I can offer perspectives on both coding challenges and strategic decision-making in AI adoption.

Azure Stream Analytics DeveloperData ScienceMachine learningPythonLinuxProgrammingProblem solvingData analyticsMonitoringCommunicationsStatisticsLeadershipTeam BuildingData VisualizationDevOpsSoftware DevelopmentCoachingDeployCloudAPINoSQLAgileInfrastructure as CodePandasMatplotlibRSQLNode.jsGitAWSDistributed Systems EngineeringPyTorchTensorFlowJenkinsContainersMLOpsKubernetesData structureMongoDBLinear AlgebraDockerNumPyScipyInterview PreparationpytestOAuth 2.0Concurrent ProgrammingDjangoFlaskAzureTerraformLaTeXPrometheus
+46
Data analytics, Monitoring, Communications, Statistics, Leadership, Team Building, Data Visualization, DevOps, Software Development, Coaching, Deploy, Cloud, API, NoSQL, Agile, Infrastructure as Code, Pandas, Matplotlib, R, SQL, Node.js, Git, AWS, Distributed Systems Engineering, PyTorch, TensorFlow, Jenkins, Containers, MLOps, Kubernetes, Data structure, MongoDB, Linear Algebra, Docker, NumPy, Scipy, Interview Preparation, pytest, OAuth 2.0, Concurrent Programming, Django, Flask, Azure, Terraform, LaTeX, Prometheus
Azure Stream Analytics engineer - Bruno C.
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Bruno C.

Vetted Azure Stream Analytics developer in Brazil (UTC-3)

Hello, I'm Bruno! I’m a senior software engineer specializing in DevOps and Data Engineering. I’ve been working on projects of architecture, build, and automation of data platforms. Also, I already designed and built a data lake and data warehouse used by thousands of users. I am very goal-oriented, and I deep dive into reaching them. For this, I always try to optimize the reliability, scalability, and maintainability of the projects I work on. I tackle challenges and complex projects with enthusiasm, and excellent analytic skills.

AzureData analyticsAzure Data FactoryApache SparkPythonAWSData modelingApache AirflowETLData warehouseSQLTerraformDatabricksMySQLGitDatabaseOracleBashPostgreSQLShellOOPAmazon EC2JenkinsAmazon S3PandasRedisCentOSMarkdownAnsibleDockerpytestObject-Oriented ProgrammingAmazon RDSData structureDocker swarmApache HadoopData EngineeringApache HiveDistributed Systems EngineeringPowerShellGitLabIBM DB2Microsoft SQL ServerPower BICI/CD
+38
Apache Airflow, ETL, Data warehouse, SQL, Terraform, Databricks, MySQL, Git, Database, Oracle, Bash, PostgreSQL, Shell, OOP, Amazon EC2, Jenkins, Amazon S3, Pandas, Redis, CentOS, Markdown, Ansible, Docker, pytest, Object-Oriented Programming, Amazon RDS, Data structure, Docker swarm, Apache Hadoop, Data Engineering, Apache Hive, Distributed Systems Engineering, PowerShell, GitLab, IBM DB2, Microsoft SQL Server, Power BI, CI/CD
Azure Stream Analytics architect - João A.
João A.

Azure Stream Analytics developer in Brazil (UTC-3)

Software Engineer with 6+ years of experience, used to develop and maintain scalable web and mobile applications, RESTful API's, supporting hundreds of users simultaneously, for the E-commerce, HR, Financial and Educational sectors. Technologies: \- PHP / Laravel / Livewire \- Javascript / Vue.js \- Flutter / React Native \- MySQL / PostgreSQL / SQLServer \- Cloud (Microsoft Azure App Services/ Blob Storage) \- RESTful API \- Tests (unitary / integration) \- CI/CD (Azure DevOps / Git / Azure repository) \- Agile (Azure Boards, Kanban, Trello) A clear communication skill enables to me a more effective collaboration, share ideias transparently, improving the collective to overcome any obstacle. I quickly adapt to new technologies and environments, making a smoother integration. I'm passionate about solving problems in order to make people's lives easier. I believe that knowledge only has value if it's shared. Throughout my career I have been part of high-performance and motivated teams, where I was able to help others with my knowledge and when I needed they added together with me.

Azure Stream Analytics DeveloperSQLLaravelPHPAzureRESTful APIWordPressC++FlutterAWSVue.jsSEOGoogle analytics 4MySQL
+7
C++, Flutter, AWS, Vue.js, SEO, Google analytics 4, MySQL

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Why clients hire Azure Stream Analytics developers with Arc

Without Arc by my side, I would be wasting a lot of time looking for and vetting talent. I'm not having to start a new talent search from scratch. Instead, I’m able to leverage the talent pool that Arc has created.
Mitchum Owen
Mitchum Owen
President of Milo Digital
The process of filling our position took less than a week and they found us a superstar. They've had the flexibility to meet our specific needs every step of the way and their customer service has been top-notch since day one.
Matt Gysel
Matt Gysel
Finance & Strategy at BaseVenture
The biggest advantage and benefit of working with Arc is the tremendous reduction in time spent sourcing quality candidates. We’re able to identify the talent in a matter of days.
Philip Tsai
Philip Tsai
Director of Engineering at Chegg

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Hire Top Remote
Azure Stream Analytics developers
in Brazil

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Arc Azure Stream Analytics developers
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Build your team of Azure Stream Analytics developers anywhere

Arc helps you build your team with our network of full-time and freelance Azure Stream Analytics developers worldwide.
We assist you in assembling your ideal team of programmers in your preferred location and timezone.

FAQs

Why hire an Azure Stream Analytics developer?

In today’s world, most companies have code-based needs that require developers to help build and maintain. For instance, if your business has a website or an app, you’ll need to keep it updated to ensure you continue to provide positive user experiences. At times, you may even need to revamp your website or app. This is where hiring a developer becomes crucial.

Depending on the stage and scale of your product and services, you may need to hire an Azure Stream Analytics developer, multiple engineers, or even a full remote developer team to help keep your business running. If you’re a startup or a company running a website, your product will likely grow out of its original skeletal structure. Hiring full-time remote Azure Stream Analytics developers can help keep your website up-to-date.

How do I hire Azure Stream Analytics developers?

To hire an Azure Stream Analytics developer, you need to go through a hiring process of defining your needs, posting a job description, screening resumes, conducting interviews, testing candidates’ skills, checking references, and making an offer.

Arc offers three services to help you hire Azure Stream Analytics developers effectively and efficiently. Hire full-time Azure Stream Analytics developers from a vetted candidates pool, with new options every two weeks, and pay through prepaid packages or per hire. Alternatively, hire the top 2.3% of expert freelance Azure Stream Analytics developers in 72 hours, with weekly payments.

If you’re not ready to commit to the paid plans, our free job posting service is for you. By posting your job on Arc, you can reach up to 450,000 developers around the world. With that said, the free plan will not give you access to pre-vetted Azure Stream Analytics developers.

Furthermore, we’ve partnered with compliance and payroll platforms Deel and Remote to make paperwork and hiring across borders easier. This way, you can focus on finding the right Azure Stream Analytics developers for your company, and let Arc handle the logistics.

Where do I hire the best remote Azure Stream Analytics developers?

There are two types of platforms you can hire Azure Stream Analytics developers from: general and niche marketplaces. General platforms like Upwork, Fiverr, and Gigster offer a variety of non-vetted talents unlimited to developers. While you can find Azure Stream Analytics developers on general platforms, top tech talents generally avoid general marketplaces in order to escape bidding wars.

If you’re looking to hire the best remote Azure Stream Analytics developers, consider niche platforms like Arc that naturally attract and carefully vet their Azure Stream Analytics developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Azure Stream Analytics developers.

Some factors to consider when you hire Azure Stream Analytics developers include the platform’s specialty, developer’s geographical location, and the service’s customer support. Depending on your hiring budget, you may also want to compare the pricing and fee structure.

Make sure to list out all of the important factors when you compare and decide on which remote developer job board and platform to use to find Azure Stream Analytics developers for hire.

How do I write an Azure Stream Analytics developer job description?

Writing a good Azure Stream Analytics developer job description is crucial in helping you hire Azure Stream Analytics developers that your company needs. A job description’s key elements include a clear job title, a brief company overview, a summary of the role, the required duties and responsibilities, and necessary and preferred experience. To attract top talent, it's also helpful to list other perks and benefits, such as flexible hours and health coverage.

Crafting a compelling job title is critical as it's the first thing that job seekers see. It should offer enough information to grab their attention and include details on the seniority level, type, and area or sub-field of the position.

Your company description should succinctly outline what makes your company unique to compete with other potential employers. The role summary for your remote Azure Stream Analytics developer should be concise and read like an elevator pitch for the position, while the duties and responsibilities should be outlined using bullet points that cover daily activities, tech stacks, tools, and processes used.

For a comprehensive guide on how to write an attractive job description to help you hire Azure Stream Analytics developers, read our Engineer Job Description Guide & Templates.

What skills should I look for in an Azure Stream Analytics developer?

The top five technical skills Azure Stream Analytics developers should possess include proficiency in programming languages, understanding data structures and algorithms, experience with databases, familiarity with version control systems, and knowledge of testing and debugging.

Meanwhile, the top five soft skills are communication, problem-solving, time management, attention to detail, and adaptability. Effective communication is essential for coordinating with clients and team members, while problem-solving skills enable Azure Stream Analytics developers to analyze issues and come up with effective solutions. Time management skills are important to ensure projects are completed on schedule, while attention to detail helps to catch and correct issues before they become bigger problems. Finally, adaptability is crucial for Azure Stream Analytics developers to keep up with evolving technology and requirements.

What kinds of Azure Stream Analytics developers are available for hire through Arc?

You can find a variety of Azure Stream Analytics developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Azure Stream Analytics developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Azure Stream Analytics developers for hire, you can expect to make a successful hire in 14 days. To extend a freelance engagement to a full-time hire, a contract-to-hire fee will apply.

In addition to a variety of engagement types, Arc also offers a wide range of developers located in different geographical locations, such as Latin America and Eastern Europe. Depending on your needs, Arc offers a global network of skilled engineers in various different time zones and countries for you to choose from.

Lastly, our remote-ready Azure Stream Analytics developers for hire are all mid-level and senior-level professionals. They are ready to start coding straight away, anytime, anywhere.

Why is Arc the best choice for hiring Azure Stream Analytics developers?

Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled Azure Stream Analytics developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Azure Stream Analytics developers.

Every Azure Stream Analytics developer for hire in our network goes through a vetting process to verify their communication abilities, remote work readiness, and technical skills. Additionally, HireAI, our GPT-4-powered AI recruiter, enables you to get instant candidate matches without searching and screening.

Not only can you expect to find the most qualified Azure Stream Analytics developer on Arc, but you can also count on your account manager and the support team to make each hire a success. Enjoy a streamlined hiring experience with Arc, where we provide you with the developer you need, and take care of the logistics so you don’t need to.

How does Arc vet a Azure Stream Analytics developer's skills?

Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Azure Stream Analytics developer for hire on Arc, developers must pass a profile screening, complete a behavioral interview, and pass a technical interview or pair programming.

While Arc has a strict vetting process for its verified Azure Stream Analytics developers, if you’re using Arc’s free job posting plan, you will only have access to non-vetted developers. If you’re using Arc to hire Azure Stream Analytics developers, you can rest assured that all remote Azure Stream Analytics developers have been thoroughly vetted for the high-caliber communication and technical skills you need in a successful hire.

How long does it take to find Azure Stream Analytics developers on Arc?

Arc pre-screens all of our remote Azure Stream Analytics developers before we present them to you. As such, all the remote Azure Stream Analytics developers you see on your Arc dashboard are interview-ready candidates who make up the top 2% of applicants who pass our technical and communication assessment. You can expect the interview process to happen within days of posting your jobs to 450,000 candidates. You can also expect to hire a freelance Azure Stream Analytics developer in 72 hours, or find a full-time Azure Stream Analytics developer that fits your company’s needs in 14 days.

Here’s a quote from Philip, the Director of Engineering at Chegg:

“The biggest advantage and benefit of working with Arc is the tremendous reduction in time spent sourcing quality candidates. We’re able to identify the talent in a matter of days.”

Find out more about how Arc successfully helped our partners in hiring remote Azure Stream Analytics developers.

How much does a freelance Azure Stream Analytics developer charge per hour?

Depending on the freelance developer job board you use, freelance remote Azure Stream Analytics developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Azure Stream Analytics developers for hire at as low as $10 per hour. However, high-quality freelance developers often avoid general freelance platforms like Fiverr to avoid the bidding wars.

When you hire Azure Stream Analytics developers through Arc, they typically charge between $60-100+/hour (USD). To get a better understanding of contract costs, check out our freelance developer rate explorer.

How much does it cost to hire a full time Azure Stream Analytics developer?

According to the U.S. Bureau of Labor Statistics, the medium annual wage for developers in the U.S. was $120,730 in May 2021. What this amounts to is around $70-100 per hour. Note that this does not include the direct cost of hiring, which totals to about $4000 per new recruit, according to Glassdoor.

Your remote Azure Stream Analytics developer’s annual salary may differ dramatically depending on their years of experience, related technical skills, education, and country of residence. For instance, if the developer is located in Eastern Europe or Latin America, the hourly rate for developers will be around $75-95 per hour.

For more frequently asked questions on hiring Azure Stream Analytics developers, check out our FAQs page.

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