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PySpark
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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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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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Henry A., Software Engineer with Python and Data Analytical Skills

Nigeria
Last Updated: 23 Apr 2024
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- 8+ years experience working with Python; - 5 years of experience as a BI and 4 years of experience with Tableau; - 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); - Data Analytics/Engineering with Cloud Service Providers (AWS, GCP) - Experience working with MySQL, SQL, and PostgreSQL; - 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   8.5 yr.

Data Analysis

Data Analysis   6 yr.

Google Cloud Platform (GCP)

Google Cloud Platform (GCP)   4 yr.

Tableau

Tableau   4 yr.

Microsoft Power BI

Microsoft Power BI   4 yr.

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Simon K., Python Software Engineer with data engineering skills

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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Raman, DATA SCIENTIST/ MACHINE LEARNING ENGINEER

Poland
Last Updated: 25 Oct 2023

- 10+ years experience working in the IT industry; - 8+ years experience working with Python; - Strong skills with SQL; - Good abilities working with R and C++; - Deep knowledge of AWS; - Experience working with Kubernetes (K8s), and Grafana; - Strong abilities with Apache Kafka, Apache Spark/PySpark, and Apache Airflow; - Experience working with Amazon S3, Athena, EMR, Redshift; - Specialised in Data Science and Data Analysis; - Work experience as a team leader; - Upper-Intermediate English.

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PySpark

PySpark

Python

Python   8 yr.

Amazon Web Services (AWS)

Amazon Web Services (AWS)

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Nikolai, Data Engineer

Poland
Last Updated: 13 May 2024

Data Engineer with 7 years of expertise in data analytics/science, ETL, and cloud technologies, blending deep healthcare and pharma industry knowledge. Proficient in Python, SQL, and a suite of data engineering tools including, Apache Spark, Airflow, and BI tools such as Power BI. Implemented real-time data streaming using Kafka, and has experience with multiple cloud services from AWS, Azure, and GCP. Key achievements include optimizing SQL database performance, automating data quality checks, and uncovering new drug candidates through computational data discovery—demonstrating a strong fusion of domain knowledge and technical acumen.

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PySpark

PySpark   7 yr.

Python

Python   7 yr.

SQL

SQL   7 yr.

JMeter

JMeter   7 yr.

Apache Airflow

Apache Airflow   4 yr.

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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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Maria Lapko
Global Partnership Manager

Only 3 Steps to Hire PySpark Engineers

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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.
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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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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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Владислав «Sheepbar» Баранов
Владислав «Sheepbar» Баранов
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Yanina Antipova
Yanina Antipova
Хочу виразити велику подяку за таку швидку роботу по підбору двох розробників. Та ще й у такий короткий термін-2 дні. Це мене здивувало, адже ми шукали вже цілий місяць. І знайдені кандидати нам не підходили Це щось неймовірне. Доречі, ці кандидати працюють у нас і зараз. Та надать приклад іншим працівникам. Гарного дня!)
Наталья Кравцова
Наталья Кравцова
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Volodymyr
Volodymyr
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 “Pizza” 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?

  • 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.

  • 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

  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?

  • 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