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Hire Deeply Vetted <span>GCP Big Data services Developer</span>
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Ihor K, Big Data & Data Science Engineer with BI & DevOps skills

Ukraine
Last Updated: 5 Mar 2024
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- Data Engineer with a Ph.D. degree in Measurement methods, Master of industrial automation - 16+ years experience with data-driven projects - Strong background in statistics, machine learning, AI, and predictive modeling of big data sets. - AWS Certified Data Analytics. AWS Certified Cloud Practitioner. - Experience in ETL operations and data curation - PostgreSQL, SQL, Microsoft SQL, MySQL, Snowflake - Big Data Fundamentals via PySpark, Google Cloud, AWS. - Python, Scala, C#, C++ - Skills and knowledge to design and build analytics reports, from data preparation to visualization in BI systems.

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GCP Big Data services

GCP Big Data services

AWS big data services

AWS big data services

AWS Quicksight

AWS Quicksight

Python

Python

Apache Kafka

Apache Kafka

Data Pipelines (ETL)

Data Pipelines (ETL)

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Only 3 Steps to Hire GCP Big Data services 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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Leaving a review to express how delighted I am to have found such a great side gig here. The project is intriguing, and I'm really enjoying the team dynamics. I'm also quite satisfied with the compensation aspect. It's crucial to feel valued for the work you put in. Overall, I'm grateful for the opportunity to contribute to this project and share my expertise. I'm thrilled to give a shoutout and recommendation to anyone seeking an engaging and rewarding work opportunity.

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FAQs about GCP Big Data services Development

How do I hire a GCP Big Data services developer? Arrow

Are you desperately looking for a GCP Big Data services 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 GCP Big Data services 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 GCP Big Data services developers? Arrow

Sure enough, within the network there must be dozens, if not hundreds, of services and platforms where you can look for the GCP Big Data services 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 GCP Big Data services 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 GCP Big Data services candidates for every position. We live and breathe technical excellence, borne out of extensive industry expertise.

How quickly can I hire GCP Big Data services 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 GCP Big Data services 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 GCP Big Data services engineers in person. Make the right call. Bring a new GCP Big Data services 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 GCP Big Data services 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 GCP Big Data services 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 GCP Big Data services 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 GCP Big Data services developers. Upstaff has a network of vetted and tested GCP Big Data services developers. Here, you can hire web developers for a few simple coding tasks with GCP Big Data services.

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Table of Contents

How and where is GCP Big Data services used?

  • Real-time analytics: Monitoring data streams
  • Data warehousing: Analyzing business data
  • Machine learning: Predictive analytics
  • Internet of Things: Processing sensor data
  • Data lake: Storing and analyzing big data
  • Data migration: Moving data to the cloud
  • Data archiving: Long-term data storage
  • Clickstream analysis: Understanding user behavior
  • Log analysis: Monitoring system logs
  • Recommendation engines: Personalizing user experiences

Compare Junior, Middle, Senior, and Expert/Team Lead GCP Big Data services Developer roles

Seniority NameYears of experienceResponsibilities and activitiesAverage salary (USD/year)
Junior1-3 years
  • Develop basic Big Data pipelines
  • Assist in data analysis tasks
  • Support data visualization efforts
60,000
Middle3-5 years
  • Design and implement complex data solutions
  • Optimize Big Data workflows
  • Collaborate with cross-functional teams
80,000
Senior5-8 years
  • Lead Big Data projects
  • Architect data systems
  • Mentor junior developers
100,000
Expert/Team Lead8+ years
  • Define Big Data strategies
  • Manage team projects
  • Provide technical leadership
120,000

Quick Facts about GCP Big Data services.

  • The GCP Big Data services Software Development was created in 2008 by Google.
  • Popular project types using this technology include data analytics and machine learning.
  • The entry threshold for using this technology is having a basic understanding of data processing.
  • A popular related technology to GCP Big Data services is Apache Hadoop for distributed computing.
  • A fun fact about GCP Big Data services is that it can process petabytes of data in minutes!

TOP GCP Big Data services Related Technologies

  1. BigQuery
  2. (Data warehousing, author Google)

  3. Dataflow
  4. (Real-time data processing, author Google)

  5. Pub/Sub
  6. (Message queuing service, author Google)

  7. Bigtable
  8. (NoSQL Big Data database, author Google)

  9. Cloud Dataproc
  10. (Apache Spark and Hadoop service, author Google)

What are top GCP Big Data services instruments and tools?

  • BigQuery: Data warehouse tool by Google (2010)
  • Dataflow: Stream & batch data processing by Google (2014)
  • Pub/Sub: Messaging service by Google (2015)

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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