Hire Apache Spark Streaming Developer

Upstaff is the best deep-vetting talent platform to match you with top Apache Spark Streaming developers for hire. Scale your engineering team with the push of a button

Apache Spark Streaming
Trusted by Businesses

Hire Freelance Apache Spark Streaming Developers and Engineers

Nikita, Apache Spark Streaming Developer

Last Job: 13 May 2024

A seasoned Data Engineer with over 6 years of experience in the field of software and big data engineering. Holds a strong academic background in Computer Science and Software Engineering, certified as a Google Cloud Professional Data Engineer. Demonstrates deep expertise in high-load system design, performance optimizations, and domain-specific solutions for Healthcare, Fintech, and E-commerce. Proficient in Python and SQL, with significant exposure to data engineering tools such as Apache Hadoop, Apache Spark, and Apache Airflow, and cloud technologies from AWS and GCP. Adept at working with various databases and message brokers, excelling in data modeling, BI, and data visualization using tools like Looker, Power BI, and Tableau. Enhanced system efficiencies through SQL and data pipeline optimizations, driving significant improvements in processing speed and system performance. A collaborative engineer with a strong grasp of DevOps practices, committed to best-in-class data governance and security standards.

Apache Spark Streaming

Apache Spark Streaming

Python

Python   6 yr.

SQL

SQL   6 yr.

Apache Airflow

Apache Airflow   5 yr.

JMeter

JMeter   6 yr.

PySpark

PySpark   6 yr.

View Nikita

Anton P., Apache Spark Streaming Developer

Last Job: 23 Aug 2023

- Java Team Lead and Architect with 10+ years of a demonstrated history of working in various industries, including finance, entertainment, and retail. - Proficient in Java, Scala, AWS, Jenkins, Docker, Maven, and other technologies for building high-load applications and services. - Extensive experience with Kafka Streaming applications for data transformation and aggregation. - Successfully designed and managed high-load applications utilizing Kafka for data processing and prediction. - Strong background in AWS, utilizing services like AWS Lambda, Docker, and Kubernetes to build scalable and efficient systems. - Strong experience designing and implementing technical solutions, setting up Agile teams, and mentoring developers. - Proven ability to handle multiple projects through the entire lifecycle, ensuring timely and within-budget delivery. - Experienced in conducting requirement analysis, identifying risks, and conducting mitigation action planning - Upper-Intermediate English

Apache Spark Streaming

Apache Spark Streaming

Java

Java   10 yr.

View Anton

Philipp B., Apache Spark Streaming Developer

$42/hr
Last Job: 4 Jul 2023

- Experience in developing 8+ years - 8+ years of professional experience with Python - Experience in development projects using: Python, Spark, Hadoop, Kafka - Good knowledge in Machine Learning (Keras, Tensorflow) - Experience with databases such as PostgreSQL, SQLite, MySQL, Redis, MongoDB - Experience in program automation testing. - Upper-intermediate English - Available ASAP

Apache Spark Streaming

Apache Spark Streaming

Python

Python

View Philipp

Abdul, Apache Spark Streaming Developer

Last Job: 4 Jul 2023

• 15 years of proven experience in IT industry • 7 years experience as Solution Architect, 3 years of which in a position of Senior Architect • 12 years of experience in Java, Spring Boot, Micro Services and AWS, Google, Azure Cloud for deployment. • Worked with Ant and Maven and Gradle Build tools in Java. • Experience in designing, developing and overseeing the implementation of solutions that improve the stability, scalability, availability and latency • Expertise in steaming tools such as Kafka • Experience in MySQL, Cassandra, PostgreSQL • Automated environments setup for Developers, Staging for SQA and Production for customers • Extensive experience with Continuous Integration Tools like Jenkin, Hudson, circleci, TeamCity, Bamboo, GitLab and configuring CI/CD with unit test on builds • Experience with AWS API gateway, Lambda functions, Elastic Load Balancers, VPC, Security groups, Jump Servers, Route53, Cloud Watch and servers Auto Scaling • Worked with different Bug Tracking Tools like Remedy, Jira, ServiceNow and Clear Quest. • Ability in development and execution of XML, Shell Scripts and Perl Scripts. • Experience in cloud cost optimization, resources cleanup, automated services scaling based on load and ensuring latest security standards • Experience in linux/Unix Systems • Worked on SDLC Methodologies like Agile, Waterfall.

Apache Spark Streaming

Apache Spark Streaming

Java

Java   12 yr.

Spring Framework

Spring Framework

AWS (Amazon Web Services)

AWS (Amazon Web Services)

SQL

SQL

Apache Kafka

Apache Kafka

View Abdul
Sergey P.

Sergey P., Apache Spark Streaming Developer

Last Job: 24 Jun 2024

- Software Architect with over 15 years of extensive experience in software development, more than half of that worked as a Team/Tech Leader. - Exceptional team lead and Solutions Architect - Strong understanding of software architecture, back-end and front-end stacks - Extensive knowledge of ML/DL algorithms and real-world implementation - Responsible, Ambitious, Communicative, Team and goal-oriented - Fluent English

Apache Spark Streaming

Apache Spark Streaming

Node.js

Node.js

web3

web3

Blockchain

Blockchain

5.0
Based on 9 reviews

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

Only 3 Steps to Hire Apache Spark Streaming Developer

1
Talk to Our Apache Spark Streaming 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 Apache Spark Streaming Talents
Within 1-3 days, we’ll share profiles and connect you with the right Apache Spark Streaming talents for your project. Schedule a call to meet engineers in person.
3
Validate Your Choice
Bring new Apache Spark Streaming expert on board with a trial period to confirm you hire the right one. There are no termination fees or hidden costs.

Welcome on Upstaff: The best site to hire Apache Spark Streaming Developer

Yaroslav Kuntsevych
Upstaff.com was launched in 2019, addressing software service companies, startups and ISVs, increasingly varying and evolving needs for qualified software engineers

Yaroslav Kuntsevych

CEO
Hire Dedicated Apache Spark Streaming Developer Trusted by People
5.0
Based on 9 reviews
google
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.

google
Maryna Navo September 25, 2023

Крутий сервіс, зручна комунікація. Допомогли з закриттям мого питання на 200%

google
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 🙌🏽.

google
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!

google
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.

Hire Apache Spark Streaming Developer as Effortless as Calling a Taxi

Hire Apache Spark Streaming Developer

FAQs on Apache Spark Streaming Development

What is a Apache Spark Streaming Developer? Arrow

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

Why should I hire a Apache Spark Streaming Developer through Upstaff.com? Arrow

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

How do I know if a Apache Spark Streaming Developer is right for my project? Arrow

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

What is the cost of hiring a Apache Spark Streaming Developer? Arrow

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

Can I hire Apache Spark Streaming Developers on a part-time or project-based basis? Arrow

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

What are the qualifications of Apache Spark Streaming Developers on Upstaff.com? Arrow

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

How do I manage a Apache Spark Streaming Developer once hired? Arrow

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

What support does Upstaff.com offer during the hiring process? Arrow

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

Can I replace a Apache Spark Streaming Developer if they are not meeting expectations? Arrow

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.

Discover Our Talent Experience & Skills

Browse by Experience
Browse by Skills
Browse by Experience
Arrow
Browse by Experience
Browse by Skills
Go (Golang) Ecosystem Arrow
Rust Frameworks and Libraries Arrow
Adobe Experience Manager (AEM) Arrow
Codecs & Media Containers Arrow
Hosting, Control Panels Arrow

Want to hire Apache Spark Streaming developer? Then you should know!

Share this article
Table of Contents

How and where is Apache Spark Streaming used?

How and where
  • Real-time fraud detection: Identify fraudulent activities instantly
  • Dynamic pricing: Adjust prices in real-time based on demand
  • Clickstream analysis: Analyze user behavior on websites
  • IoT sensor data processing: Process large volumes of sensor data
  • Social media trend analysis: Monitor trends on social platforms
  • Network monitoring: Monitor network traffic for anomalies
  • Ad targeting: Serve personalized ads in real-time
  • Predictive maintenance: Predict equipment failures before they occur
  • Healthcare monitoring: Monitor patient data in real-time
  • Supply chain optimization: Optimize supply chain operations

Compare Junior, Middle, Senior, and Expert/Team Lead Apache Spark Streaming Developer roles

Seniority NameYears of experienceResponsibilities and activitiesAverage salary (USD/year)
Junior1-3 years
  • Basic code implementation
  • Assist with testing
  • Documentation support
$60,000
Middle3-5 years
  • Developing complex features
  • Code review
  • Collaborate with team
$80,000
Senior5-8 years
  • Architect solutions
  • Mentor junior developers
  • Lead projects
$100,000
Expert/Team Lead8+ years
  • Set technical direction
  • Manage team
  • Client interaction
$120,000

Quick Facts about Apache Spark Streaming.

Facts about
  • Apache Spark Streaming was created in 2013 by Matei Zaharia.
  • It is widely used in real-time analytics and data processing projects.
  • The entry threshold for learning Apache Spark Streaming is moderate.
  • Apache Hadoop is one of the most popular related technologies.
  • Fun Fact: Apache Spark Streaming can process data in near real-time!

TOP Apache Spark Streaming Related Technologies

Related Technologies
  1. Apache Kafka (Confluent, 2011)
  2. Apache Flink (Apache Software Foundation, 2014)
  3. Amazon Kinesis (Amazon Web Services, 2013)
  4. Apache NiFi (Apache Software Foundation, 2014)
  5. Apache Storm (Apache Software Foundation, 2011)

What are top Apache Spark Streaming instruments and tools?

Instruments and tools
  • Apache Zeppelin: Interactive data analytics tool by Apache, released in 2016
  • Kafka: Distributed event streaming platform by Confluent, released in 2011
  • Flume: Distributed log collection for Hadoop by Apache, released in 2011
  • Flink: Distributed stream processing framework by Apache, released in 2015
  • NiFi: Data automation tool by Apache, released in 2014

Join our Telegram channel

@UpstaffJobs

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