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PySpark
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Ihor K, PySpark Developer

Ukraine
Last Updated: 3 Jun 2024
Identity Verified
Language Verified
Programming Skills Verified
CV Verified

- 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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PySpark

PySpark

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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Nattiq, PySpark Developer

Norway
Last Updated: 25 Jul 2024

- 12+ years experience working in the IT industry; - 12+ years experience in Data Engineering with Oracle Databases, Data Warehouse, Big Data, and Batch/Real time streaming systems; - Good skills working with Microsoft Azure, AWS, and GCP; - Deep abilities working with Big Data/Cloudera/Hadoop, Ecosystem/Data Warehouse, ETL, CI/CD; - Good experience working with Power BI, and Tableau; - 4+ years experience working with Python; - Strong skills with SQL, NoSQL, Spark SQL; - Good abilities working with Snowflake and DBT; - Strong abilities with Apache Kafka, Apache Spark/PySpark, and Apache Airflow; - Upper-Intermediate English.

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PySpark

PySpark

Python

Python   4 yr.

Azure (Microsoft Azure)

Azure (Microsoft Azure)   5 yr.

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Henry A., PySpark Developer

Nigeria
Last Updated: 25 Jul 2024
Identity Verified
Language Verified
Programming Skills Verified
CV Verified

- 9+ years experience working with Python; - 3+ years of experience with AI/ML projects - 5 years of experience with PowerBI and 4 years of experience with Tableau and other visualization tools like Spotfire, - 6 years of experience working with MySQL, SQL, and PostgreSQL; - 8 years of experience with various data sets (ETL, Data Engineer, Data Quality Engineer); - 3 years of experience with Amazon Web Services (AWS), Google Cloud Platform (GCP); - Proven commercial experience in HR and related Talent projects - Extensive experience with Spark and Hadoop - Background with TensorFlow, Scikit-learn and PyTorch - Data Analytics/Engineering with Cloud Service Providers (AWS, GCP) - Deep abilities working with Kubernetes (K8s); - Hands-on scripting experience with Python; Microsoft Power BI, Tableau, Sisense, CI/CD principles, Data Validation, Data QA, SQL, Pipelines, ETL, and Automated web scraping. - Pet web3 projects (solidity, wallet integration) - Upper-intermediate English

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PySpark

PySpark

Python

Python   9 yr.

Data Analysis

Data Analysis   6 yr.

SQL

SQL   6 yr.

Microsoft Power BI

Microsoft Power BI   5 yr.

NoSQL

NoSQL   5 yr.

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Simon K., PySpark Developer

Hannover, Germany
Last Updated: 23 Apr 2024

- 2+ years of experience with Python as a Data Engineer and Deep/Machine Learning Intern - Experience with Data Vault modeling and AWS cloud services (S3, Lambda, and Batch) - Cloud Services: Sagemaker, Google BigQuery, Google Data Studio, MS Azure Databricks, IBM Spectrum LSF, Slurm - Data Science Frameworks: PyTorch, TensorFlow, PySpark, NumPy, SciPy, scikit-learn, Pandas, Matplotlib, NLTK, OpenCV - Proficient in SQL, Python, Linux, Git, and Bash scripting. - Had experience leading a BI development team and served as a Scrum Master. - Native English - Native German

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PySpark

PySpark

Python

Python

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Sergii Ch, PySpark Developer

Limassol, Spain
Last Updated: 5 Jun 2024

- Senior Data Engineer with 10+ of experience specializing in designing, optimizing, and maintaining data infrastructures, data flow automation, and algorithm development. - Has expertise in Python, SQL/NoSQL, ETL processes, PySpark, Apache Airflow, and an array of AWS services, complemented by a strong foundation in database systems and cloud-based solutions. Proven capability in handling large-scale data analytics and processing with a focus on performance and cost efficiency in cloud environments. Proficient in developing robust ETL pipelines, performing data migrations, and optimizing complex queries and storage procedures, leveraging extensive experience across multiple industries and platforms. - Start: ASAP - English: Upper-Intermediate

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PySpark

PySpark

Python

Python   10 yr.

SQL

SQL   10 yr.

AWS EC2

AWS EC2

Talend ETL

Talend ETL   10 yr.

Apache Airflow

Apache Airflow

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5.0
Based on 9 reviews

Talk to Our Talent Expert

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Maria Lapko
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Only 3 Steps to Hire PySpark Engineers

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Our journey starts with a 30-min discovery call to explore your project challenges, technical needs and team diversity.
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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.
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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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Based on 9 reviews
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Vitalii Stalynskyi August 29, 2023

I have been working with Upstaff for over a year on a project related to landscape design and management of contractors in land design projects. During the project, we have done a lot of work on migrating the project to a multitenant architecture and are currently working on new features from the backlog.When we started this project, the hiring processes were organized well. Everything went smoothly, and we were able to start working quickly. Payments always come on time, and there is always support from managers. All issues are resolved quickly.Overall, I am very happy with my experience working with Upstaff, and I recommend them to anyone looking for a new project. They are a reliable company that provides great projects and conditions. I highly recommend them to anyone looking for a partner for their next project.

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Henry Akwerigbe August 30, 2023

This is a super team to work with. Through Upstaff, I have had multiple projects to work on. Work culture has been awesome, teammates have been super nice and collaborative, with a very professional management.There's always a project for you if you're into tech such Front-end, Back-end, Mobile Development, Fullstack, Data Analytics, QA, Machine Learning / AI, Web3, Gaming and lots more.It gets even better because many projects even allow full remote from anywhere!Nice job to the Upstaff Team 🙌🏽.

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Roman Masniuk August 25, 2023

I worked with Upstaff engineers for over 2 years, and my experience with them was great. We deployed several individual contributors to clients' implementations and put up two teams of upstaff engineers. Managers' understanding of tech and engineering is head and shoulders above other agencies. They have a solid selection of engineers, each time presented strong candidates. They were able to address our needs and resolve things very fast. Managers and devs were responsive and proactive. Great experience!

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Maryna Navo September 25, 2023

ΠšΡ€ΡƒΡ‚ΠΈΠΉ сСрвіс, Π·Ρ€ΡƒΡ‡Π½Π° комунікація. Π”ΠΎΠΏΠΎΠΌΠΎΠ³Π»ΠΈ Π· закриттям ΠΌΠΎΠ³ΠΎ питання Π½Π° 200%

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Volodymyr August 11, 2023

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 PySpark Development

How do I hire a PySpark developer? Arrow

Are you desperately looking for a PySpark 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 PySpark 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 PySpark developers? Arrow

Sure enough, within the network there must be dozens, if not hundreds, of services and platforms where you can look for the PySpark 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 β€œPizza” type of service in the field of custom software development.

How are Upstaff PySpark 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 PySpark candidates for every position. We live and breathe technical excellence, borne out of extensive industry expertise.

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

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Table of Contents

How and where is PySpark used?

How and where
  • Real-time Data Processing: Streaming Analytics
  • Machine Learning: Predictive Analytics
  • Data Warehousing: ETL Processes
  • Graph Processing: Social Network Analysis
  • Natural Language Processing: Sentiment Analysis
  • Image Processing: Object Recognition

Compare Junior, Middle, Senior, and Expert/Team Lead PySpark Developer roles

Seniority NameYears of experienceResponsibilities and activitiesAverage salary (USD/year)
Junior1-2 yearsResponsibilities & Activities:

  • Assist in data processing
  • Develop simple PySpark scripts
50,000
Middle3-5 yearsResponsibilities & Activities:

  • Optimize PySpark jobs
  • Debug complex issues
70,000
Senior6-8 yearsResponsibilities & Activities:

  • Design scalable PySpark solutions
  • Lead project implementations
90,000
Expert/Team Lead9+ yearsResponsibilities & Activities:

  • Architect PySpark frameworks
  • Mentor junior developers
120,000

Quick Facts about PySpark.

Facts about
  • PySpark was unleashed in 2013, born from the fiery depths of Apache Spark.
  • From data processing to machine learning, PySpark is the darling of big data projects.
  • To dance with PySpark, one must wield the mighty Python and grasp the Spark framework.
  • Hadoop, with its distributed computing prowess, is the popular companion of PySpark.
  • Did you know? PySpark can make your data woes disappear faster than you can say “Big Data Magic!”

TOP PySpark Related Technologies

Related Technologies
  1. Apache Spark
  2. (UC Berkeley, 2014)

  3. Hadoop
  4. (Apache Software Foundation, 2006)

  5. Python
  6. (Guido van Rossum, 1991)

  7. Scala
  8. (Martin Odersky, 2003)

What are top PySpark instruments and tools?

Instruments and tools
  • PyCharm: A powerful IDE by JetBrains, released in 2010
  • Databricks: Collaborative Apache Spark-based analytics service, released in 2013
  • Apache Zeppelin: Interactive data analytics environment, released in 2013
  • Jupyter Notebook: Open-source web application for interactive coding, released in 2015
  • Apache Spark: Unified analytics engine for big data processing, released in 2014

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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