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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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AWS EMR

AWS EMR

Python

Python   8 yr.

Amazon Web Services (AWS)

Amazon Web Services (AWS)

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Roman V., Senior Data Scientist

Ukraine
Last Updated: 6 Oct 2023

- Software engineer with 6 years of experience in data science and computer vision. - Proficient in Python, C++, and various data science libraries such as NumPy, Pandas, and scikit-learn. - Experienced in developing real-time computer vision algorithms for iOS and Android devices. - Skilled in dataset gathering, neural network training, and model optimization using Inference Triton Server. - Developed and integrated a face reenactment algorithm for photo editing. - Familiar with DevOps and MLOps tools such as AWS, Docker, and Google Cloud. - Holds a Master's degree in Data Science and a Bachelor's degree in Computer Science from Ukrainian Catholic University.

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AWS EMR

AWS EMR

Python

Python   6 yr.

OpenCV

OpenCV   6 yr.

Pandas

Pandas   6 yr.

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Amit, Expert Data Engineer

Last Updated: 4 Jul 2023

- 8+ year experience in building data engineering and analytics products (Big data, BI, and Cloud products) - Expertise in building Artificial intelligence and Machine learning applications. - Extensive design and development experience in AZURE, Google, and AWS Clouds. - Extensive experience in loading and analyzing large datasets with Hadoop framework (Map Reduce, HDFS, PIG and HIVE, Flume, Sqoop, SPARK, Impala), No SQL databases like Cassandra. - Extensive experience in migrating on-premise infrastructure to AWS and GCP clouds. - Intermediate English - Available ASAP

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AWS EMR

AWS EMR

Apache Hadoop

Apache Hadoop

Apache Kafka

Apache Kafka

Google Cloud Platform (GCP)

Google Cloud Platform (GCP)

Amazon Web Services (AWS)

Amazon Web Services (AWS)

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Natig, Data Engineer

Norway
Last Updated: 14 Jul 2023

- 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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AWS EMR

AWS EMR

Python

Python   4 yr.

Microsoft Azure

Microsoft Azure   5 yr.

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Andriy L., Data Science / Java Software Engineer

Ternopil, Ukraine
Last Updated: 4 Jul 2023
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• 10+ year experience with JAVA and Linux operating systems: Java 11, Spring Boot, Spring Data JPA, MySQL/MongoDB, ElasticSearch, Jenkins CI • Big Data, Data Engineering, NLP, Corpus Linguistics, ML, DL • Design and implement a distributed warehouse system (AWS migration), REST API design and cache implementation (1,000-10,000 requests/sec), Design and implement high-load microservices • Deliver special courses devoted to concurrency and prepared handbook on “Parallel and Distributed Computations” [technologies: (basics of OpenMP, MPI, CUDA, OpenCL), advanced in Java concurrency]; • Scientific projects at university related research increasing effectiveness of crypto-analysis • Upper-Intermediate English • Available Full-time • Ready to start in 2 weeks • No scheduled vacations within next 3months

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AWS EMR

AWS EMR

Java

Java   15 yr.

Hadoop ecosystem

Hadoop ecosystem

Python

Python   3 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 AWS EMR 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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Наталья Кравцова
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Hire AWS EMR Developer as Effortless as Calling a Taxi

Hire AWS EMR engineer

FAQs about AWS EMR Development

How do I hire a AWS EMR developer? Arrow

Are you desperately looking for a AWS EMR 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 AWS EMR 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 AWS EMR developers? Arrow

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

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

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Table of Contents

How and where is AWS EMR used?

  • Log Analysis: Analyzing log data for insights
  • Data Warehousing: Processing large datasets for analysis
  • ETL Processing: Extract, Transform, Load tasks
  • Clickstream Analysis: Studying user behavior on websites
  • Genomics Analysis: Processing genetic data
  • Machine Learning: Training ML models at scale
  • Fraud Detection: Identifying fraudulent activities
  • Real-time Analytics: Processing data in real-time
  • IoT Data Processing: Handling massive IoT data streams
  • Image Recognition: Analyzing images for various purposes

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

Seniority NameYears of experienceResponsibilities and activitiesAverage salary (USD/year)
Junior0-2 yearsResponsibilities & Activities:

  • Assist in basic code development.
  • Support testing and debugging.
$70,000
Middle3-5 yearsResponsibilities & Activities:

  • Develop data processing frameworks.
  • Optimize EMR performance.
$90,000
Senior6-8 yearsResponsibilities & Activities:

  • Lead EMR architecture design.
  • Mentor junior developers.
$110,000
Expert/Team Lead9+ yearsResponsibilities & Activities:

  • Define EMR best practices.
  • Manage project timelines.
$130,000

Quick Facts about AWS EMR.

  • In the year of the glorious 2009, AWS EMR Software Development was born!
  • Projects that love to dance with AWS EMR include Big Data and Data Processing.
  • Getting cozy with AWS EMR requires you to have a decent understanding of cloud computing.
  • AWS EMR’s best buddy is Apache Spark, they make a killer team!
  • Did you know? AWS EMR can process data at speeds faster than a cheetah on caffeine!

TOP AWS EMR Related Technologies

  1. Apache Spark
  2. (Apache, 2014)

  3. Hadoop
  4. (Apache, 2006)

  5. Presto
  6. (Facebook, 2012)

  7. Flink
  8. (Apache, 2016)

  9. Hive
  10. (Apache, 2010)

What are top AWS EMR instruments and tools?

  • Amazon EMR Notebooks: Jupyter notebooks for EMR
  • AWS Glue: Data catalog and ETL service
  • Apache Zeppelin: Web-based notebook for data exploration
  • Apache Hadoop: Open-source framework for distributed storage and processing
  • Apache Spark: Fast cluster computing system
  • Apache Hive: Data warehouse infrastructure
  • Livy: REST service for Apache Spark

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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