Big Data Architects developer

A Big Data Architect is responsible for the design, implementation and maintenance of an organization's big data infrastructure. They work with stakeholders to identify and collect data sets that can be used to improve business decision making. In addition, they develop and implement big data solutions using technologies such as Hadoop, Spark and NoSQL databases.
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Big Data Architects developer

There are many reasons to hire a Big Data Architects developer. Some of the most common reasons include: - To gain insights from large and complex data sets - To improve decision making by understanding relationships within data - To better understand customer behavior or trends in the marketplace - To optimize business processes by identifying inefficiencies within data sets

Mikhail Kudinov
IT/Programming

Big Data Architects,

Project Management,

Business Intelligence,

System Analysis,

Dwh,

Business Analysis,

Big data,

Product Management

Christian Richter
IT/Programming

Big Data Architects,

Docker,

Python,

Spark,

SQL,

Cloud Engineer,

Data Ingestion,

Data Modeling,

Database Caching,

Kubernetes,

Data architecture,

Database design

Nikhil Sai
IT/Programming

Big Data Architects,

Agile,

AWS,

Oracle,

Python,

Scala,

SQL,

Tableau,

unix,

PL/SQL,

Teradata,

Kafka,

Power BI

Mai Nakagawa
IT/Programming

Big Data Architects,

AWS,

DevOps,

Java,

Machine Learning,

Python,

Google Cloud Platform,

Big data

Anton Bryzgalov
IT/Programming

Big Data Architects,

AWS,

nosql,

Python,

SQL,

Azure,

ClickHouse,

ETL,

Apache Hadoop,

Team Lead,

Dwh,

Asynchronous programming,

Big data,

System Analytics

Kashin A.V.
IT/Programming

Big Data Architects,

BigCommerce,

Business Activity Monitoring,

Business Intelligence,

Business Analysis

Mikhail Kudinov
IT/Programming

Big Data Architects,

Project Management,

Business Intelligence,

System Analysis,

Dwh,

Business Analysis,

Big data,

Product Management

Christian Richter
IT/Programming

Big Data Architects,

Docker,

Python,

Spark,

SQL,

Cloud Engineer,

Data Ingestion,

Data Modeling,

Database Caching,

Kubernetes,

Data architecture,

Database design

Nikhil Sai
IT/Programming

Big Data Architects,

Agile,

AWS,

Oracle,

Python,

Scala,

SQL,

Tableau,

unix,

PL/SQL,

Teradata,

Kafka,

Power BI

Mai Nakagawa
IT/Programming

Big Data Architects,

AWS,

DevOps,

Java,

Machine Learning,

Python,

Google Cloud Platform,

Big data

Anton Bryzgalov
IT/Programming

Big Data Architects,

AWS,

nosql,

Python,

SQL,

Azure,

ClickHouse,

ETL,

Apache Hadoop,

Team Lead,

Dwh,

Asynchronous programming,

Big data,

System Analytics

Kashin A.V.
IT/Programming

Big Data Architects,

BigCommerce,

Business Activity Monitoring,

Business Intelligence,

Business Analysis

Mikhail Kudinov
IT/Programming

Big Data Architects,

Project Management,

Business Intelligence,

System Analysis,

Dwh,

Business Analysis,

Big data,

Product Management

Christian Richter
IT/Programming

Big Data Architects,

Docker,

Python,

Spark,

SQL,

Cloud Engineer,

Data Ingestion,

Data Modeling,

Database Caching,

Kubernetes,

Data architecture,

Database design

Nikhil Sai
IT/Programming

Big Data Architects,

Agile,

AWS,

Oracle,

Python,

Scala,

SQL,

Tableau,

unix,

PL/SQL,

Teradata,

Kafka,

Power BI

Mai Nakagawa
IT/Programming

Big Data Architects,

AWS,

DevOps,

Java,

Machine Learning,

Python,

Google Cloud Platform,

Big data

Anton Bryzgalov
IT/Programming

Big Data Architects,

AWS,

nosql,

Python,

SQL,

Azure,

ClickHouse,

ETL,

Apache Hadoop,

Team Lead,

Dwh,

Asynchronous programming,

Big data,

System Analytics

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Big Data Architects developer

There are many advantages to hiring a Big Data Architect, including:

  • They can help you develop and implement a Big Data strategy that meets your business needs.

  • They have the necessary skills and experience to design, build, and maintain a Big Data solution.

  • They can help you choose the right technology stack and platform for your Big Data project.

  • They can provide guidance on best practices for data management, security, and privacy.

Only the best and the most experienced IT professionals
Selection process is free of charge
Reduced operating costs
Each professional has been selected for the highest level of expertise
No workplace expenses
Free replacement of the specialist at the request of the customer
Professional's specific field of expertise
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