Hadoop developer

A Hadoop developer designs, develops, installs, configures, and maintains the Hadoop application. Their role involves programming in Java, Python, and SQL, and handling large datasets using Hadoop ecosystem components like HDFS, MapReduce, Hive, and HBase. They manage data processing and analysis, ensuring efficient data loading, transformation, and storage. They also perform troubleshooting, debugging, and upgrading of the Hadoop clusters. Additionally, they ensure system's security and privacy, and may work on data modelling, ETL development, and data warehousing. Essentially, they enable businesses to make sense of big data, providing insights for data-driven decision making.

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Hadoop developer

Hiring a Hadoop developer is beneficial for handling large data sets efficiently. They can process and analyze data faster, resulting in improved decision-making. Their expertise in Hadoop ecosystem components like MapReduce, HDFS, and YARN ensures robust data management. They can also build data models and frameworks to streamline data processing tasks. This can help your organization to uncover valuable insights from complex, unstructured data, aiding in strategic planning. Moreover, they can enhance data security, ensuring your sensitive information is well-protected. Overall, a Hadoop developer can help you leverage big data to drive business growth.

Mikhail Pak

IT/Programming

Hadoop,

Agile,

DevOps,

Project Management,

Python,

Scrum,

Azure,

Apache Hadoop,

ITIL,

Big data,

Artificial Intelligence

Dmitriy Leskovets

IT/Programming

Hadoop,

Docker,

Git,

GitHub,

Jenkins,

Bash shell scripting,

GitLab,

Kubernetes,

Sonarqube,

CI/CD methodologies

Anastasia Bosyakova

IT/Programming

Hadoop,

AngularJS,

CSS,

Git,

go,

JavaScript,

MySQL,

PHP,

REST,

Symfony,

Yii,

Doctrine,

OOP

Andrey Sedletskiy

IT/Programming

Hadoop,

Oracle,

SQL,

XML,

ETL,

Informatica,

Dwh

Nikhil Sai

IT/Programming

Hadoop,

Agile,

AWS,

Oracle,

Python,

Scala,

SQL,

Tableau,

unix,

PL/SQL,

Teradata,

Kafka,

Power BI

Aleksandr Chernyshev

IT/Programming

Hadoop,

AWS,

go,

Golang,

Java,

MongoDB,

Oracle,

Python,

RabbitMQ,

Scala,

Spark,

Spring,

SQL,

ClickHouse,

Cloudformation,

Google Cloud Platform,

Apache Hadoop,

HBase,

PostgreSQL Programming,

Rust,

Tarantool,

Terraform,

Aerospike,

Kafka,

High load systems,

Erlang OTP

Mikhail Pak

IT/Programming

Hadoop,

Agile,

DevOps,

Project Management,

Python,

Scrum,

Azure,

Apache Hadoop,

ITIL,

Big data,

Artificial Intelligence

Dmitriy Leskovets

IT/Programming

Hadoop,

Docker,

Git,

GitHub,

Jenkins,

Bash shell scripting,

GitLab,

Kubernetes,

Sonarqube,

CI/CD methodologies

Anastasia Bosyakova

IT/Programming

Hadoop,

AngularJS,

CSS,

Git,

go,

JavaScript,

MySQL,

PHP,

REST,

Symfony,

Yii,

Doctrine,

OOP

Andrey Sedletskiy

IT/Programming

Hadoop,

Oracle,

SQL,

XML,

ETL,

Informatica,

Dwh

Nikhil Sai

IT/Programming

Hadoop,

Agile,

AWS,

Oracle,

Python,

Scala,

SQL,

Tableau,

unix,

PL/SQL,

Teradata,

Kafka,

Power BI

Aleksandr Chernyshev

IT/Programming

Hadoop,

AWS,

go,

Golang,

Java,

MongoDB,

Oracle,

Python,

RabbitMQ,

Scala,

Spark,

Spring,

SQL,

ClickHouse,

Cloudformation,

Google Cloud Platform,

Apache Hadoop,

HBase,

PostgreSQL Programming,

Rust,

Tarantool,

Terraform,

Aerospike,

Kafka,

High load systems,

Erlang OTP

Mikhail Pak

IT/Programming

Hadoop,

Agile,

DevOps,

Project Management,

Python,

Scrum,

Azure,

Apache Hadoop,

ITIL,

Big data,

Artificial Intelligence

Dmitriy Leskovets

IT/Programming

Hadoop,

Docker,

Git,

GitHub,

Jenkins,

Bash shell scripting,

GitLab,

Kubernetes,

Sonarqube,

CI/CD methodologies

Anastasia Bosyakova

IT/Programming

Hadoop,

AngularJS,

CSS,

Git,

go,

JavaScript,

MySQL,

PHP,

REST,

Symfony,

Yii,

Doctrine,

OOP

Andrey Sedletskiy

IT/Programming

Hadoop,

Oracle,

SQL,

XML,

ETL,

Informatica,

Dwh

Nikhil Sai

IT/Programming

Hadoop,

Agile,

AWS,

Oracle,

Python,

Scala,

SQL,

Tableau,

unix,

PL/SQL,

Teradata,

Kafka,

Power BI

Hiring a Hadoop developer offers numerous advantages for businesses dealing with big data. Firstly, they can efficiently manage and analyze large data sets. Hadoop's structure allows for the storage and processing of huge volumes of data, and a Hadoop developer can help a business tap into this potential.

Secondly, they can improve decision-making processes. With their ability to extract insights from big data, they can provide valuable input for strategic decisions. Their expertise can reveal trends, patterns, and correlations that might otherwise remain hidden in the vast amount of information.

Thirdly, they can enhance business productivity. A Hadoop developer can automate the process of sorting and analyzing data, freeing up other employees to focus on their core competencies.

Furthermore, they can help in cost reduction. Hadoop is an open-source framework, meaning there are no licensing fees. Its ability to store and process data in-house reduces the need for expensive data warehousing solutions.

Lastly, they can ensure data security. Hadoop developers can implement robust security measures, including authentication, authorization, and encryption, to protect sensitive business data. They can also ensure data recovery in case of any accidental losses.

In summary, a Hadoop developer is a valuable asset in managing and interpreting big data, enhancing decision-making, increasing productivity, reducing costs, and ensuring data security.

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