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Ihor K, PySpark Developer

Last Job: 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.

PySpark

PySpark

AWS big data services

AWS big data services

AWS Quicksight

AWS Quicksight

Python

Python

Apache Kafka

Apache Kafka

ETL

ETL

View Ihor

Nattiq, PySpark Developer

Last Job: 24 Sep 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.

PySpark

PySpark

Python

Python   4 yr.

Azure (Microsoft Azure)

Azure (Microsoft Azure)   5 yr.

View Nattiq

Henry A., PySpark Developer

$30/hr
Last Job: 2 Aug 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; - Good skills with Vaex, and Dask; - Was a part of a financial debt management project; - 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.

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.

View Henry

Simon K., PySpark Developer

Last Job: 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

PySpark

PySpark

Python

Python

View Simon

Sergii Ch, PySpark Developer

Last Job: 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

PySpark

PySpark

Python

Python   10 yr.

SQL

SQL   10 yr.

AWS EC2

AWS EC2

Talend ETL

Talend ETL   10 yr.

Apache Airflow

Apache Airflow

View Sergii
5.0
Based on 9 reviews

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5.0
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google
Volodymyr August 11, 2023
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FAQs on PySpark Development

What is a PySpark Developer? Arrow

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

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

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If your project involves developing applications or systems that rely heavily on PySpark, then hiring a PySpark 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 PySpark Developers.
Interview: Evaluate candidates through interviews.
Hire: Choose the best fit for your project.

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

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

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

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

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

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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 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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