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Hire the Top Freelance Azure Databricks Developers in the World

Top Azure Databricks Developers with UpStack

Sergey S.

I am a versatile DWH/ETL Developer with 10+ years of technical expertise in data engineering; a certified SAP and Microsoft professional specialist well-versed in system and network administration and cloud data solutions. I am very hands-on in approach; using regular client engagements to deliver excellent design solutions, data analysis and troubleshooting on projects for clients.

Al M.

Al Mahdi is a digital transformation expert at the forefront of the AI revolution who guides businesses through the transformative power of AI and offers clients a comprehensive and personalized support system that addresses their specific challenges. With expertise in developing systems that use Machine Learning, neural networks, and new technologies, he crafts highly performant software using a client-centered approach and feedback to fine-tune the quality of solutions delivered to clients. Boasting a diverse set of technical skills, ranging from Big Data and BI to business analysis and AI, allows Al Mahdi to navigate complex challenges, identify valuable insights, and develop actionable ROI-centric solutions.

Can D.

Driven Software Engineer, with 7+ experience in working with BI/Data Warehouse/ELT alongside other technologies, in automotive, retail and e-commerce companies. Having had both technical and non-technical roles, I have a clear understanding of the client's point of view, which was an important advantage in building a BI project from scratch and managing 4TB data increasing at the rate of 40GB/day.

Naman J.

Naman is a passionate data engineer with 7 years of experience in the analysis, design, development, implementation, maintenance and support, with experience in developing strategic methods for deploying big data technologies. Hands-on experience in the design, implementation, and productionalization of an enterprise-grade ML on big data solution for two Fortune 500 financial institutions. Highly-skilled in working with Databricks, Azure, ADF, Spark, and Scala.

Naga B.

Naga is a passionate Data Engineer with over 8 years of experience in designing, developing, and optimizing entire data pipelines including data science algorithms in production at scale with operational reliability. He has extensive experience with Python, Shell Scripting, Big Data, Hadoop, Hive, Spark, Kafka, Airflow, as well as cloud environments including AWS and Azure. Naga's expertise includes assessing organizational data needs and architecting the right approach, migrating traditional warehouse platforms to Big Data if necessary.

Marius C.

Marius is a Data Engineer well-versed in the workings of large-scale big data environments - building clean pipelines and maintaining data products on projects. He establishes scalable processes for managing data solutions, modifies ML algorithms to address user requirements and implements new proof of concepts for clients. He leverages creative data solutions with analytical skills to continue driving innovation on projects.

Marcelo M.

Marcelo is a Senior Developer with solid knowledge of Python - its models, frameworks, libraries, packages and APIs. He is fluent in C/C++, Fortran, Big Data and Google Cloud Platform. He designs and develops new end-to-end solutions on projects with minimal supervision - building reusable and maintainable to improve code functionality and reliability.

Muhammad A.

Muhammad is a React.js Developer with hands-on JavaScript and frontend frameworks expertise in owning complete products and features on projects. He is abreast with complex management tools - developing reusable UI components and libraries on solutions. He translates designs and wireframes into high-quality code - building new, scalable components for client-facing and end-user facing applications.

Yuriy M.

Yuriy is a data specialist with over 15 years of experience in data warehousing, data engineering, feature engineering, big data, ETL/ELT, and business intelligence. As a big data architect and engineer, Yuriy specializes in AWS and Azure frameworks, Spark/PySpark, Databricks, Hive, Redshift, Snowflake, relational databases, tools like Fivetran, Airflow, DBT, Presto/Athena, and data DevOps frameworks and toolsets.

Agnaldo A.

Agnaldo is a Data Engineer proficient in BI and data analytics, comfortable with Python, and helping clients build and tune their databases using SQL Server. He understands modern data lifecycle and concepts in architecting, building, and maintaining solutions using code and data engineering tools. Agnaldo works on high-priority production support issues, troubleshooting and formulating solutions to address issues promptly.

Hire Azure Databricks Developers with UpStack

Hire a highly skilled Azure Databricks developer and improve your company with UpStack. The proper candidate should be practical, experienced, responsible and receptive, or your project could get behind. UpStack resolves your hiring troubles by matching your company with vetted senior level Azure Databricks programmers. Our highly effective matching process uses advanced artificial intelligence that finds your business an ideal prospect for your forthcoming project. Our blend of A.I. and personal interviews assures an incredible match for your development team. Our ultimate goal is to help you find a Azure Databricks developer that can contribute to your organization right away. Through the years we have refined our hiring process, and is now trusted by top startups country wide. Begin your hiring process with UpStack now and start adding talented developers to your staff.

Hiring a Azure Databricks developer with upstack couldn't be simpler with our capacity to intelligently match you to the right developer. With UpStack the hiring process is streamlined and takes hours instead of weeks to choose a Azure Databricks programmer. Our matching program and expert team will save you time and gets any project started swiftly. UpStack has taken every consideration into account, from the developers availability to the time zone difference between you and the programmer. We're not searching for a good developer fit, we're looking for the perfect one. Simply tell us what skills you're searching for and an UpStack specialist will contact you, it's that easy.

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Why hire a Azure Databricks developer with UpStack

  • Azure Databricks Developer and Programmer

    Top Azure Databricks talent pre-vetted for a perfect fit.

    Our 8-point assessment evaluation ensures that every senior Azure Databricks developer you interview exceeds expectations across technical, cultural, and language criteria.

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    Hire reliable, passionate Azure Databricks developers.

    From late-night sprints to jumping on a last-minute face-to-face, we ensure that your recruits are down to get the job done right.

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    Risk-free 14-day trial.

    Confidently onboard candidates with our no-questions-asked trial period. We'll walk you through the contract-to-hire process if and when you're ready to make it permanent with your new Azure Databricks engineer.

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    Our Client Success Experts provide white-glove service.

    Stay laser-focused on your business goals while our team of experts curates potential candidates and manages seamless programmer onboarding.

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    Build your optimal team confidently, quickly.

    UpStack handles everything including background and reference checks, legal issues, and more. Our platform streamlines billing, timesheets, and payment all in one easy-to-access place.

  • Schedule a call with a Client Success Expert to get starting hiring a Azure Databricks developer.

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Hire from the Best.

Working with our Client Success Experts, we'll help you build the remote team of your dreams with top Azure Databricks talent from around the world.

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Hiring Azure Databricks Developers | FAQs

  • How much does it cost to hire a Azure Databricks developer?

    UpStack has a simple billing model where each Azure Databricks developer has a standard hourly rate averaging between $65-$75 per hour. Rates are based on skills, knowledge, and experience, and our developers are available mainly for full-time engagement (40 hours per week) and the occasional part-time opportunity (20 hours per week).

  • What is the process to find a Azure Databricks developer?

    You'll connect with an UpStack Client Success Manager to determine your immediate needs. Our team uses a combination of AI and personal assessment to short-list candidates that match your job requirements. From there, you interview, select, and onboard the perfect developer, all within days of your initial call.

  • How does UpStack find its Azure Databricks developers?

    UpStack's talent recruitment team connects with software developers around the globe every day. Each Azure Databricks programmer is vetted for technical, communication, and other soft skills necessary for a developer to successfully work with your team. Once vetted, the candidates are accepted into the UpStack developer community.

  • How is UpStack different from an agency or recruiter?

    UpStack's community of available, pre-vetted engineering talent means minimizing roadblocks to scaling your team effectively, efficiently, and immediately. Our Client Success Experts work with you and your UpStack developer to ensure a smooth and seamless engagement.

  • Can I hire UpStack Azure Databricks developers directly?

    Yes, you can hire UpStack Azure Databricks developers at any time, and with the same assurance of smoothly on boarding talent risk-free. First, we'd create a job opening on our portal. Then, we'd vet, interview, and match developers that meet your needs. If you're satisfied at the end of the 14-day trial period, at any time you can directly hire them.