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Azure Data Lake

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Azure Data Lake
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Talk to Our Azure Data Lake Talent Expert
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Within 1-3 days, we’ll share profiles and connect you with the right Azure Data Lake talents for your project. Schedule a call to meet engineers in person.
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Validate Your Choice
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Upstaff.com was launched in 2019, addressing software service companies, startups and ISVs, increasingly varying and evolving needs for qualified software engineers

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FAQs on Azure Data Lake Development

What is a Azure Data Lake Developer? Arrow

A Azure Data Lake Developer is a specialist in the Azure Data Lake framework/language, focusing on developing applications or systems that require expertise in this particular technology.

Why should I hire a Azure Data Lake Developer through Upstaff.com? Arrow

Hiring through Upstaff.com gives you access to a curated pool of pre-screened Azure Data Lake Developers, ensuring you find the right talent quickly and efficiently.

How do I know if a Azure Data Lake Developer is right for my project? Arrow

If your project involves developing applications or systems that rely heavily on Azure Data Lake, then hiring a Azure Data Lake Developer would be essential.

How does the hiring process work on Upstaff.com? Arrow

Post Your Job: Provide details about your project.
Review Candidates: Access profiles of qualified Azure Data Lake Developers.
Interview: Evaluate candidates through interviews.
Hire: Choose the best fit for your project.

What is the cost of hiring a Azure Data Lake Developer? Arrow

The cost depends on factors like experience and project scope, but Upstaff.com offers competitive rates and flexible pricing options.

Can I hire Azure Data Lake Developers on a part-time or project-based basis? Arrow

Yes, Upstaff.com allows you to hire Azure Data Lake Developers on both a part-time and project-based basis, depending on your needs.

What are the qualifications of Azure Data Lake Developers on Upstaff.com? Arrow

All developers undergo a strict vetting process to ensure they meet our high standards of expertise and professionalism.

How do I manage a Azure Data Lake Developer once hired? Arrow

Upstaff.com offers tools and resources to help you manage your developer effectively, including communication platforms and project tracking tools.

What support does Upstaff.com offer during the hiring process? Arrow

Upstaff.com provides ongoing support, including help with onboarding, and expert advice to ensure you make the right hire.

Can I replace a Azure Data Lake Developer if they are not meeting expectations? Arrow

Yes, Upstaff.com allows you to replace a developer if they are not meeting your expectations, ensuring you get the right fit for your project.

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Table of Contents

How and where is Azure Data Lake used?

How and where
  • Data Analytics: Processing large datasets efficiently
  • Machine Learning: Training models on massive data
  • Data Warehousing: Storing and analyzing structured data
  • Real-time Data Processing: Handling streaming data
  • Data Archiving: Storing historical data for compliance
  • Data Exploration: Exploring and visualizing data easily
  • Data Integration: Combining data from various sources
  • Data Security: Ensuring data privacy and compliance
  • Data Backup: Safeguarding data against loss
  • Data Governance: Managing data access and usage policies

 

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

Seniority NameYears of experienceResponsibilities and activitiesAverage salary (USD/year)
Junior0-2 yearsResponsibilities & Activities:

  • Assist in data lake development
  • Execute basic data queries
$60,000
Middle2-4 yearsResponsibilities & Activities:

  • Develop data lake solutions
  • Optimize data workflows
$80,000
Senior5-8 yearsResponsibilities & Activities:

  • Lead data lake projects
  • Design data architectures
$100,000
Expert/Team Lead8+ yearsResponsibilities & Activities:

  • Guide data lake strategy
  • Mentor junior developers
$120,000

 

Quick Facts about Azure Data Lake.

Facts about
  • Azure Data Lake Software Development was created in 2016.
  • Big data analytics and machine learning are popular project types using this technology.
  • The entry threshold to start using Azure Data Lake is having basic knowledge of cloud computing.
  • One of the most popular related technologies to Azure Data Lake is Azure Data Factory.
  • Fun Fact: Azure Data Lake can handle an infinite amount of data, making it a bottomless data lake!

 

TOP Azure Data Lake Related Technologies

Related Technologies
  1. Azure Data Factory
  2. Apache Spark
  3. Hadoop
  4. Databricks

 

What are top Azure Data Lake instruments and tools?

Instruments and tools
  • Azure Data Lake Storage: Microsoft’s cloud storage service (2016)
  • Azure Data Lake Analytics: Microsoft’s big data analytics service (2016)
  • Azure Data Lake Tools for Visual Studio: Microsoft’s Visual Studio extension for data analytics (2016)

 

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