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Azure Data Factory
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Only 3 Steps to Hire Azure Data Factory Engineers

1
Talk to Our Talent Expert
Our journey starts with a 30-min discovery call to explore your project challenges, technical needs and team diversity.
2
Meet Carefully Matched Talents
Within 1-3 days, we’ll share profiles and connect you with the right talents for your project. Schedule a call to meet engineers in person.
3
Validate Your Choice
Bring new talent on board with a trial period to confirm you hire the right one. There are no termination fees or hidden costs.

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Hire Azure Data Factory Developer as Effortless as Calling a Taxi

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FAQs about Azure Data Factory Development

How do I hire a Azure Data Factory developer? Arrow

Are you desperately looking for a Azure Data Factory developer validated to your requirements and skills? Are you lacking in resources and tools to find the right developer? If yes, then you are at the right place! Because at Upstaff, the selection of the Azure Data Factory Developer is done professionally as per your requirement, in a short time of just a few days, from calling to the instant task of your validated developer, with all your required skills.

Where is the best place to find Azure Data Factory developers? Arrow

Sure enough, within the network there must be dozens, if not hundreds, of services and platforms where you can look for the Azure Data Factory guy you need, but just Upstaff lets you sort out the best of the best real qualified developers practically in a couple of minutes, so that you will be able to select the one whose personality will be a perfect fit to your company. This is the case when you can create a genuinely “Pizza” type of service in the field of custom software development.

How are Upstaff Azure Data Factory developers different? Arrow

Vetting by expert human reviewers is combined with historically curated feedback from clients and team-mates, which has enabled us to save, on average, more than 50 hours for each client team evaluating Azure Data Factory candidates for every position. We live and breathe technical excellence, borne out of extensive industry expertise.

How quickly can I hire Azure Data Factory developers through Upstaff? Arrow

Our process begins with a 30-minute discovery call: we’ll discuss your pain points, technical requirements, and team diversity. Meet Carefully Matched Azure Data Factory Talents. Upon your meeting confirmation, we’ll send you profiles and arrange an introduction call with the right talents for your project, within 1-3 days. Schedule a call to meet Azure Data Factory engineers in person. Make the right call. Bring a new Azure Data Factory developer on board with a trial period: confirm that the person you hired does the job right, no termination fees and no hidden fees.

How does Upstaff vet remote Azure Data Factory engineers? Arrow

After this introductory round, Upstaff Managers do an eval of the soft skills of the candidates before the hiring decision is approved or rejected. For the hard skills, the Upstaff Staffing Platform has a short testing session to check their Azure Data Factory skills or engage a senior developer to do a technical interview for more senior developers. You can reuse some of the hard and soft skills of past candidates to connect them with other jobs in the future (see below). Upstaff managers also do an eval of the talent before approving them for further work, allowing us to accelerate the work and ability to scale, but also providing information to clients on the talent pipeline. Finally, we also have a matching engine within the work mining system that matches candidates and jobs in real time.

How to hire Azure Data Factory developer? Arrow

If recruiting services and job boards are not your 1st option, you may want to consider a client-oriented service like Upstaff to find & hire Azure Data Factory developers. Upstaff has a network of vetted and tested Azure Data Factory developers. Here, you can hire web developers for a few simple coding tasks with Azure Data Factory.

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Table of Contents

How and where is Azure Data Factory used?

TOP 10 Interesting Utilization Cases of Azure Data Factory Development

  • Data Integration: Migrating data from on-premises to Azure Cloud
  • Data Warehousing: Consolidating data from various sources
  • Data Orchestration: Automating data workflows
  • Data Transformation: Cleaning and transforming data for analysis
  • Real-time Analytics: Processing streaming data for instant insights
  • Data Movement: Moving data between different storage systems
  • Machine Learning: Integrating data for training ML models
  • Internet of Things (IoT): Handling data from IoT devices
  • Big Data Processing: Processing large volumes of data efficiently
  • Business Intelligence: Creating reports and dashboards for decision-making

Compare Junior, Middle, Senior, and Expert/Team Lead Azure Data Factory Developer roles

Seniority NameYears of experienceResponsibilities and activitiesAverage salary (USD/year)
Junior0-2 years
  • Assist in basic ADF pipeline development
  • Support data integration tasks
$50,000
Middle2-5 years
  • Design and implement ADF solutions
  • Monitor and troubleshoot pipelines
$80,000
Senior5-8 years
  • Lead complex ADF projects
  • Optimize performance and scalability
$110,000
Expert/Team Lead8+ years
  • Provide technical guidance and mentoring
  • Drive innovation and best practices
$140,000

Quick Facts about Azure Data Factory.

  • Azure Data Factory was launched in the year 2015.
  • Various ETL (Extract, Transform, Load) projects utilize this tech.
  • To dive into Azure Data Factory, basic SQL skills are handy.
  • Azure Databricks is a close companion technology to Azure Data Factory.
  • An Azure Data Factory pipeline can be triggered by a tweet. How cool is that?

TOP Azure Data Factory Related Technologies

  1. Azure Data Lake Storage Gen2
  2. Azure SQL Database
  3. Azure Databricks
  4. Azure Synapse Analytics
  5. Azure Blob Storage

What are top Azure Data Factory instruments and tools?

  • Azure Data Factory: Data integration service by Microsoft
  • ADF Mapping Data Flows: Transform data at scale
  • Azure Databricks: Unified analytics platform
  • Azure Synapse Analytics: Cloud-based analytics service

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Talk to Our Talent Expert

Our journey starts with a 30-min discovery call to explore your project challenges, technical needs and team diversity.
Manager
Maria Lapko
Global Partnership Manager