Data Engineering developer

A Data Engineering Developer designs, constructs, tests, and maintains highly scalable data management systems. They ensure systems meet business requirements and industry practices, integrate new data management technologies and software engineering tools into existing structures, and develop set procedures for data sharing. They also create data set processes used in modeling, mining, acquisition, and verification. They work on the architecture of data systems, dealing with raw data that has both structured and unstructured forms. Their role is crucial in developing algorithms to help in data analytics, and ensuring the data does not have any privacy, compliance, or security risks.

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Data Engineering developer

Hiring a Data Engineering developer is crucial for managing and transforming large volumes of data into a usable format. They set up, test, and maintain data architectures, ensuring the systems are running correctly. They play a vital role in data-driven decision making, enhancing business operations, and predictive analysis. Their expertise in data warehousing, ETL, and big data technologies helps to improve data reliability, efficiency, and quality, enabling your organization to gain valuable insights and maintain a competitive edge.

Sahak Khotsanyan

IT/Programming

Data Engineering,

Agile,

Apache,

Back-end,

Bash,

CSS,

CSS3,

Elasticsearch,

Git,

GitHub,

Golang,

HTML,

HTML5,

JavaScript,

Jira,

jQuery,

kanban,

Linux,

Microservices,

MySQL,

Nginx,

PHP,

PostgreSQL,

Postman,

Python,

RabbitMQ,

Redis,

Swagger,

ClickHouse,

Confluence,

GitLab,

GoLand,

gRPC,

Wireshark,

Researching,

Team Work,

LXD

Shingirai Chanakira

IT/Programming

Data Engineering,

Angular,

AWS,

Bootstrap,

C#,

CSS,

Docker,

Git,

go,

HTML,

Java,

Java EE,

JavaScript,

Kotlin,

MySQL,

.NET,

PostgreSQL,

Python,

React,

Sass,

SQL,

TypeScript,

Kubernetes,

Microsoft Windows Azure,

Spring Boot,

Terraform

Anton Kuznetsov

IT/Programming

Data Engineering,

MSSQL,

Zabbix,

Confluence,

Exchange,

Veeam,

Virtualization

Sharif Mulani

IT/Programming

Data Engineering,

Java,

Linux,

Machine Learning,

nosql,

Oracle,

Python,

Spark,

SAP,

PyTorch,

Deep Learning

Ramil Mammadov

IT/Programming

Data Engineering,

AWS,

Git,

Java,

Jira,

MySQL,

Spring,

SQL,

JUnit,

Maven

Luke Zuze

IT/Programming

Data Engineering,

Spark,

SQL,

Tableau,

SSIS,

Kafka,

Ssas

Sahak Khotsanyan

IT/Programming

Data Engineering,

Agile,

Apache,

Back-end,

Bash,

CSS,

CSS3,

Elasticsearch,

Git,

GitHub,

Golang,

HTML,

HTML5,

JavaScript,

Jira,

jQuery,

kanban,

Linux,

Microservices,

MySQL,

Nginx,

PHP,

PostgreSQL,

Postman,

Python,

RabbitMQ,

Redis,

Swagger,

ClickHouse,

Confluence,

GitLab,

GoLand,

gRPC,

Wireshark,

Researching,

Team Work,

LXD

Shingirai Chanakira

IT/Programming

Data Engineering,

Angular,

AWS,

Bootstrap,

C#,

CSS,

Docker,

Git,

go,

HTML,

Java,

Java EE,

JavaScript,

Kotlin,

MySQL,

.NET,

PostgreSQL,

Python,

React,

Sass,

SQL,

TypeScript,

Kubernetes,

Microsoft Windows Azure,

Spring Boot,

Terraform

Anton Kuznetsov

IT/Programming

Data Engineering,

MSSQL,

Zabbix,

Confluence,

Exchange,

Veeam,

Virtualization

Sharif Mulani

IT/Programming

Data Engineering,

Java,

Linux,

Machine Learning,

nosql,

Oracle,

Python,

Spark,

SAP,

PyTorch,

Deep Learning

Ramil Mammadov

IT/Programming

Data Engineering,

AWS,

Git,

Java,

Jira,

MySQL,

Spring,

SQL,

JUnit,

Maven

Luke Zuze

IT/Programming

Data Engineering,

Spark,

SQL,

Tableau,

SSIS,

Kafka,

Ssas

Sahak Khotsanyan

IT/Programming

Data Engineering,

Agile,

Apache,

Back-end,

Bash,

CSS,

CSS3,

Elasticsearch,

Git,

GitHub,

Golang,

HTML,

HTML5,

JavaScript,

Jira,

jQuery,

kanban,

Linux,

Microservices,

MySQL,

Nginx,

PHP,

PostgreSQL,

Postman,

Python,

RabbitMQ,

Redis,

Swagger,

ClickHouse,

Confluence,

GitLab,

GoLand,

gRPC,

Wireshark,

Researching,

Team Work,

LXD

Shingirai Chanakira

IT/Programming

Data Engineering,

Angular,

AWS,

Bootstrap,

C#,

CSS,

Docker,

Git,

go,

HTML,

Java,

Java EE,

JavaScript,

Kotlin,

MySQL,

.NET,

PostgreSQL,

Python,

React,

Sass,

SQL,

TypeScript,

Kubernetes,

Microsoft Windows Azure,

Spring Boot,

Terraform

Anton Kuznetsov

IT/Programming

Data Engineering,

MSSQL,

Zabbix,

Confluence,

Exchange,

Veeam,

Virtualization

Sharif Mulani

IT/Programming

Data Engineering,

Java,

Linux,

Machine Learning,

nosql,

Oracle,

Python,

Spark,

SAP,

PyTorch,

Deep Learning

Ramil Mammadov

IT/Programming

Data Engineering,

AWS,

Git,

Java,

Jira,

MySQL,

Spring,

SQL,

JUnit,

Maven

Hiring a Data Engineering Developer offers several advantages to an organization. Firstly, they help in managing large volumes of data, ensuring seamless storage, processing, and extraction of information, thereby enhancing decision-making capabilities. They can design and implement complex databases and information systems, which can increase the efficiency and accuracy of data analysis.

Secondly, they bring expertise in various data tools and languages like SQL, Python, Hadoop, and more. This technical proficiency aids in the creation of robust data pipelines and architectures, optimizing data flow and collection.

Thirdly, they ensure data integrity and security. By implementing stringent data governance protocols, they can protect sensitive information from breaches and maintain regulatory compliance.

Fourthly, Data Engineering Developers can automate repetitive tasks, saving time and resources. They can build and maintain automated ETL (Extract, Transform, Load) processes, which can significantly reduce manual labor and errors.

Lastly, they play a pivotal role in facilitating data-driven strategies. They can transform raw data into actionable insights, empowering businesses to make informed strategic decisions and gain a competitive edge. Overall, a Data Engineering Developer is essential to leverage the power of data in an organization.

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