Scala вакансии

В EPAM Anywhere открыты удаленные вакансии для Scala разработчиков.

Достойная оплата

Подавай заявку на одну из открытых удаленных вакансий, становись частью нашей глобальной команды и занимайся любимой работой, получая достойное вознаграждение.

Безграничные возможности для роста

Получи доступ к широкому набору обучающих ресурсов, возможностям профессиональной сертификации и поддержке персонального менеджера по карьерному развитию.

Корпоративные преимущества

В EPAM Anywhere ты получаешь больше, чем просто работу! Мы заботимся о твоем здоровье и комфортной жизни, предоставляя множество корпоративных преимуществ, которые уникальны для каждой страны.

lead big data engineer

Data Software Engineering

Apache Spark, Databricks, Python

40 hrs/week

12+ months

Chile, Colombia

We are seeking a highly skilled remote Lead Big Data Engineer to join our team, working on a cutting-edge project that leverages the latest technologies to deliver innovative solutions in the field of data engineering.

In this role, you will lead a team of engineers in the development, implementation, and maintenance of large-scale data processing systems, ensuring the highest levels of performance, reliability, and scalability. If you are a creative problem solver with a passion for data engineering and a proven track record of delivering complex projects, we invite you to apply for this exciting opportunity.

responsibilities

Lead a team of engineers in the design, development, and maintenance of large-scale data processing systems
Collaborate with stakeholders to identify business requirements and translate them into technical specifications
Develop and implement data processing pipelines using technologies such as Apache Spark and Databricks
Optimize data processing performance and scalability, ensuring high levels of reliability and availability
Provide technical guidance and mentorship to team members, fostering a culture of continuous learning and development
Conduct code reviews and ensure adherence to coding standards and best practices
Stay up-to-date with emerging trends and technologies in data engineering, and make recommendations for their adoption

requirements

A minimum of 5 years of experience in Data Software Engineering, with expertise in designing and building large-scale data processing systems
A minimum of 1 year of experience in leading a team of engineers, providing technical guidance and mentorship, and driving successful project outcomes
Expertise in Apache Spark and Databricks, showcasing your proficiency in distributed computing and data processing
In-depth knowledge of programming languages such as Python and Scala, enabling you to write efficient and effective code
Strong understanding of data modeling and database design principles, including experience with SQL and NoSQL databases
Experience with cloud-based data processing platforms such as AWS, Azure, or Google Cloud Platform
Excellent communication skills and the ability to work collaboratively with cross-functional teams
Fluent spoken and written English at an Upper-Intermediate level or higher
Spanish language proficiency is a must-have

nice to have

Completed Databricks Data Engineering Professional certification
Experience with machine learning and data analytics tools and frameworks such as TensorFlow, PyTorch, or Apache Flink
Experience with data visualization tools such as Tableau, Power BI, or QlikView

data solution architect

Data Software Engineering

Apache Spark, Databricks, Python

40 hrs/week

12+ months

Chile, Colombia

We are seeking a talented remote Data Solution Architect to join our team and work on a cutting-edge project in the field of data analytics.

In this role, you will lead a team of engineers in the development of advanced data solutions using Apache Spark, Databricks, Python, and Scala. You will be responsible for designing and implementing scalable and reliable data pipelines, as well as optimizing data processing and storage. If you have a passion for big data and the skills to lead a team to success, we invite you to apply for this exciting opportunity.

responsibilities

Design and develop data pipelines using Apache Spark and Databricks, ensuring data quality and reliability
Collaborate with cross-functional teams to understand business requirements and design efficient data solutions
Implement and maintain data ingestion processes, including data validation and cleansing
Develop and maintain data processing workflows using Python, Scala, and other relevant languages
Monitor and optimize data pipelines to ensure efficient and scalable data processing
Contribute to the development of data architecture and infrastructure, including the selection and implementation of appropriate tools and technologies
Document data pipelines and processes, ensuring clear and concise communication with stakeholders

requirements

Minimum of 7 years of real production experience in Data Software Engineering
Minimum of 2 projects in a technical team lead role with constant hands-on work during the last 3 years
At least 1 year of experience as a Data Solution Architect
Hands-on experience with Apache Spark and Databricks, showcasing your ability to develop and maintain data pipelines
Strong programming skills in Python, Scala, and other relevant languages, enabling you to write efficient and scalable code
Experience working with Microsoft Azure, including Azure Data Factory, Azure Data Lake Storage, and Azure Databricks
Completed Databricks Data Engineering Professional certification, showcasing your knowledge and expertise in Databricks
English at an Upper-Intermediate level or higher, enabling effective communication
Fluent spoken and written Spanish

nice to have

Experience with other Big Data technologies, such as Hadoop, Kafka, or Cassandra
Experience with containerization technologies, such as Docker or Kubernetes
Knowledge of Data Science and Machine Learning concepts
Experience with Agile methodologies and project management tools, such as JIRA or Trello

senior ruby developer for a software company

Ruby

Amazon Web Services, MySQL, Apache Kafka

40 hrs/week

12+ months

Colombia

Currently, we are looking for a remote Senior Ruby Developer to join our team.

responsibilities

Implement new features for the renewed Referral Management Solution
Create technical design documents
Perform peer code reviews

requirements

3+ years of experience in Ruby on Rails Development
Experience in AWS (Lambdas, DynamoDB, S3)
Experience in MySQL
Experience in Jersey REST WebServices

nice to have

Experience in Kafka
Experience in BigData (Hadoop, MapReduce, YARN)
Experience in Java 8+
Experience in Scala

data solution architect

Data Software Engineering

Apache Spark, Databricks, Python

40 hrs/week

12+ months

Chile, Colombia

We are seeking a talented remote Data Solution Architect to join our team and work on a cutting-edge project in the field of data analytics.

responsibilities

Lead a team of engineers in the development of advanced data solutions using Apache Spark, Databricks, Python, and Scala
Design and implement scalable and reliable data pipelines, optimizing data processing and storage
Collaborate with cross-functional teams to understand business and data requirements, and develop solutions that meet those needs
Troubleshoot and optimize data pipelines and processing, ensuring high performance and reliability
Mentor and train junior engineers, providing guidance and support in their professional development
Stay up-to-date with the latest trends and technologies in big data processing and analytics, and share knowledge with the team
Ensure the quality and accuracy of data solutions, and maintain high standards of code quality and documentation

requirements

Minimum of 7 years of practical hands-on experience in Data Software Engineering
At least 2+ projects in a technical team lead role with constant hands-on work during the last 3 years
1+ years of experience as a Data Solution Architect
Expertise in Apache Spark and Databricks, with experience in developing and optimizing Spark jobs and clusters
Proficiency in Python and Scala, with experience in developing data pipelines and ETL processes
Experience in designing and implementing scalable and reliable data solutions, including data processing, storage, and retrieval
Strong leadership skills, with experience in leading and mentoring a team of engineers
Excellent communication skills and the ability to work collaboratively with cross-functional teams
Ability to troubleshoot and optimize data pipelines and processing, ensuring high performance and reliability
Fluent spoken and written English at an Upper-Intermediate level or higher
Spanish language proficiency is a must

nice to have

Completed Databricks Data Engineering Professional certification
Experience with cloud-based data solutions, such as AWS or Azure
Experience with data visualization tools, such as Tableau or Power BI

lead big data engineer

Data Software Engineering

Apache Spark, Databricks, Python

40 hrs/week

12+ months

Chile, Colombia

We are seeking a highly skilled remote Lead Big Data Engineer to join our team, working with a leading provider of cloud-based solutions for the financial services industry.

In this position, you will be responsible for managing and developing the company's big data infrastructure, collaborating with cross-functional teams to design and implement scalable and reliable data solutions. You will also be responsible for driving the adoption of new technologies and tools to enhance the company's data processing capabilities. If you are passionate about big data and have experience in managing complex data systems, we invite you to join our team.

responsibilities

Design and develop big data solutions using Apache Spark and Databricks, ensuring scalability and reliability
Collaborate with cross-functional teams to understand business requirements and design data solutions to meet them
Optimize data processing and analytics performance using advanced techniques and tools
Develop and maintain data pipelines and ETL processes using Python and Scala
Ensure the quality and integrity of data by implementing data validation and testing processes
Drive the adoption of new technologies and tools to enhance the company's data processing capabilities
Manage and mentor junior engineers, providing guidance and support in their daily tasks
Ensure compliance with data privacy and security regulations

requirements

A minimum of 5 years of experience in Data Software Engineering
Strong experience in Apache Spark and Databricks, highlighting your proficiency in big data processing and analytics
Proficiency in programming languages such as Python and Scala, enabling you to develop and maintain data pipelines and ETL processes
Hands-on experience in Microsoft Azure, including Azure Data Factory, Azure Databricks, and Azure Blob Storage
Completed Databricks Data Engineering Professional certification, demonstrating your in-depth knowledge of Databricks and its features
Strong problem-solving skills and attention to detail, allowing you to identify and resolve complex data issues
Experience in managing and mentoring junior engineers, showcasing your leadership skills and ability to work with cross-functional teams
Fluent spoken and written English at an Upper-Intermediate level or higher, enabling effective communication with international teams

nice to have

Experience with other big data technologies such as Hadoop, Hive, and Kafka
Knowledge of data visualization tools such as Tableau or Power BI
Experience with data warehousing and data modeling techniques

senior python developer for insurance company

Python.Core

C#, Java, Scala

40 hrs/week

12+ months

India

Currently, we are looking for a remote Senior Python Developer with 5+ years of experience in software development to join our team.

Currently, we are looking for a remote Senior Python Developer with 3+ years of experience in software development to join our team. The customer is an insurance company that offers surety bonds to construction, engineering, oil and gas, manufacturing, defense, shipbuilding, pharmaceutical, transportation, and retail sectors. The project is focused on the development of a service that intends to consume submission data from internal services, enrich it using REST API for 3rd party services, score it via REST API with internal service, store results in No SQL DB and show to the users in being developed User Interface. Scrum team is distributed across the world and includes team members from US, Hungary, Ukraine and Belarus.

responsibilities

Implementation of AWS Lambdas using Python
Writing unit/integration tests for services
Implementing REST API services
Write/update project configs based on YAML
Create/update services to read/write/update data from/to NoSQL DB

requirements

3+ years of production experience working with: Python or any programming language like C#, Java, Scala
Good understanding of main AWS services and structure
Good understanding about NoSQL DBs
English level B2+ for communication with English speaking colleagues and customer

nice to have

Experience to write Microservices
Experience with JavaScript/TypeScript

technologies

Python, JavaScript
Micro Services, REST
AWS Services (Lambda, Glue, API Gateway, S2, CloudWatch, SQS, StepFunctions, DynamoDB)
Bamboo, Sonar, Git, YAML

senior java developer

Java

Amazon Web Services, Databricks, Docker

40 hrs/week

12+ months

India

Currently, we are looking for a remote Senior Java Developer to join our global team

Currently, we are looking for a remote Senior Java Developer to join our global team. The customer is an American online automotive resource providing with information about prices for new and used vehicles, dealer and inventory listings, a database of national and regional incentives and rebates, vehicle test drive reviews, and tips and advice on all aspects of car purchases and ownership.

responsibilities

In close cooperation with customer’s team design, build and scale business-critical systems supporting advertising team’s goals
Build rich consumer-facing interfaces
Automate operations of multiple technology stacks using AWS infrastructure and services

requirements

3+ years of experience in Java Development
Expert knowledge of Java
Knowledge and experience of using Databricks and Docker
AWS experience (especially with AWS Gateway, S3, Lambdas)
Experience using automation tools and continuous delivery platforms like Spinnaker, CodeBuild

senior devops engineer for a swiss financial services company

Microsoft Azure

Cloud.Azure, Java, Linux

40 hrs/week

12+ months

India

Currently, we are looking for a remote Senior DevOps Engineer to join our team.

The customer is a Swiss multinational investment bank and financial services company founded and based in Switzerland. Co-headquartered in the cities of Zürich and Basel, it maintains a presence in all major financial centers as the largest Swiss banking institution in the world.

responsibilities

Utilize Perl, Java, HTML, XML, SQL, PYTHON, SCALA and other technologies to develop and manage the software applications that are part of the publishing system
Contribute to development and infrastructure initiatives to improve speed and reliability
Apply broad-based software development expertise to create practical, innovative solutions
Review all existing flows or the application and system procedures and provide services proactively
Develop BI Reporting using Tools like Cognos

requirements

3+ years of experience as a DevOps Engineer
Knowledge on relational Database architecture like Sybase, MS SQL, Oracle
Experience in batch process development using DB languages like PLS/SQL, TSQL/ASE and scripting languages like Python, Perl, Script, Scala and Java
Knowledge on NOSQL DBs
Domain knowledge on Financial reporting and wealth management
Excellent understanding of data base, cloud-based application like Azure
Strong technical background and have excellent problem-solving abilities
Understanding of databases and ability to write complex SQL queries
Strong analytical skills and the ability to meet tight deadlines in a fast-paced environment
Experience with SQL and other DBMS (e.g., MySQL, Azure SQL Database, Sybase, Cassandra,) (Azure SQL Database with Sybase is Plus)
B2+ level of English

big data solution architect

Data Software Engineering

Apache Spark, Databricks, Python

40 hrs/week

12+ months

Chile, Colombia

We are seeking a skilled Big Data Solution Architect to join our remote team, working with a leading technology company that specializes in big data solutions.

In this position, you will play a critical role in designing and implementing data engineering solutions using Databricks on the Microsoft Azure platform. You will work closely with cross-functional teams to develop and deliver scalable, high-performance data solutions that meet the needs of our clients. If you are a problem solver with a passion for big data and a strong technical background, we invite you to apply for this exciting opportunity.

responsibilities

Design and implement data engineering solutions using Databricks on the Microsoft Azure platform
Develop and deploy scalable, high-performance data solutions that meet the needs of our clients
Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions
Provide technical guidance and support to team members and clients, ensuring successful project delivery
Conduct code reviews and ensure adherence to best practices and coding standards
Identify and troubleshoot issues with data pipelines and implement solutions to optimize performance and reliability

requirements

7+ years of real production experience in Big Data
2+ projects in a technical team lead role with constant hands-on work during the last 3 years
1+ years of experience as a Big Data Solution Architect
Completed Databricks Data Engineering Professional certification, showcasing your proficiency in Databricks development and deployment
Hands-on experience with Apache Spark, Python, and Scala, enabling you to design and implement data engineering solutions
Strong knowledge of Microsoft Azure, including its data services and cloud infrastructure
Excellent communication skills and the ability to work collaboratively with cross-functional teams
Strong analytical and problem-solving skills, critical for designing and implementing complex data solutions
Ability to work independently and manage multiple projects simultaneously
English at an Upper-Intermediate level or higher, enabling effective communication
Fluent in spoken and written Spanish

nice to have

Experience in data modeling and database design
Familiarity with other big data technologies, such as Hadoop or Kafka
Knowledge of machine learning and data science concepts
Experience with data visualization tools, such as Tableau or Power BI

data solution architect

Data Software Engineering

Apache Spark, Databricks, Python

40 hrs/week

12+ months

Chile, Colombia

We are seeking a skilled remote Data Solution Architect with expertise in Databricks, to join our team, working with a leading provider of data-driven solutions for businesses worldwide.

We are seeking a skilled remote Data Solution Architect with expertise in Databricks , to join our team, working with a leading provider of data-driven solutions for businesses worldwide. In this position, you will be responsible for designing and implementing complex data solutions, utilizing your extensive knowledge of data software engineering and Big Data technologies. You will work closely with cross-functional teams to identify and analyze business requirements, providing valuable insights and recommendations to support data-driven decision-making. If you are passionate about data and have experience in designing and implementing scalable data solutions, we invite you to apply for this exciting opportunity.

responsibilities

Design and implement complex data solutions, utilizing your expertise in Big Data technologies and programming languages
Collaborate with cross-functional teams to identify and analyze business requirements, providing valuable insights and recommendations to support data-driven decision-making
Develop and optimize data pipelines, ensuring scalability, reliability, and performance
Implement data security and privacy measures, ensuring compliance with data protection regulations
Monitor and analyze data performance metrics, identifying and addressing potential issues and bottlenecks
Maintain and update data documentation, ensuring accuracy and completeness
Participate in code reviews, offering input on code quality and potential improvements

requirements

Minimum of 7 years of professional experience in Data Software Engineering
Minimum of 2 projects in a technical team lead role with constant hands-on work during the last 3 years
At least 1 year of experience as a Data Solution Architect
Expertise in Apache Spark, Databricks, and other Big Data technologies
Experience in programming languages such as Python and Scala
Practical experience with Microsoft Azure and other cloud-based platforms
Completed Databricks Data Engineering Professional certification
Strong analytical and problem-solving skills, allowing you to identify and analyze complex business requirements
Excellent organizational skills and attention to detail, crucial for meticulous data engineering efforts
Ability to work independently and manage multiple projects simultaneously, maintaining a high level of performance even under pressure
Fluent spoken and written English and Spanish at an Upper-Intermediate level or higher

nice to have

Experience in data modeling, data warehousing, and database design
Knowledge of machine learning and data science concepts and tools
Experience with data visualization tools such as Tableau or Power BI
Experience with containerization technologies such as Docker or Kubernete

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Отзывы Anywhere People
“Изначально я подал заявку на позицию в офисе, но получил предложение от EPAM Anywhere, принял его и не пожалел о сделанном выборе. Проработав в EPAM Anywhere более года, я могу выделить следующие преимущества, которые сделали мой опыт комфортным: возможности для самоорганизации, отсутствие необходимости тратить время на путь на работу и обратно, work-life balance, возможность следить за здоровьем и настроить рабочее место по своим предпочтениям (например, работать с дивана 😊),сохранение личного бюджета (я практически перестал пользоваться автомобилем) и забота об экологии”.
АлександрSoftware Engineer, Беларусь, Минск

Удаленная работа для Scala программиста в EPAM Anywhere

Если говорить о перспективах различных языков программирования, то Scala вакансии входят в топ-три самых востребованных согласно статистике компаний-рекрутеров и результатам поисковых запросов. Решение Twitter перевести свою платформу с Ruby на Scala привлекло внимание многих IT-компаний по всему миру. Такие сайты как: WhatsApp, Netflix, Linkedln, Foursquare, eBay теперь также пользуются этим языком программирования.

Статистические отчеты от DOU и Hired демонстрируют, что вакансии для Scala разработчиков постоянно удерживаются на высоких позициях. Этот язык работает со сложной инфраструктурой, основанной на базах данных, и работодатели готовы хорошо платить за качественно выполненную работу. Если сотрудничество по данному направлению и есть твоя цель – ознакомься с полезной информацией о Scala работе в EPAM Anywhere.

Ключевые навыки для Scala разработчика

Scala дает возможность программистам значительно улучшить свои профессиональные навыки, изучив новые подходы и принципы. Основной аспект, который так привлекателен для большинства разработчиков, заключается в том, что этот язык позволяет писать идеальный, абстрактный код.

Чтобы попробовать себя в роли старшего Scala разработчика, необходимо владеть следующим списком навыков:

более пяти лет опыта программирования
опыт в экосистеме Scala
практика в иерархии тестирования программного обеспечения
способность проводить анализ, исправлять ошибки и решать проблемы
значительный опыт с системами Data Lakes и MPP DW
навыки взаимодействия с хранилищами данных: PostgreSQL, Elasticsearch, Clickhouse
знание технологий больших данных (Kafka, Spark)
хороший письменный и разговорный английский

Существенным преимуществом при работе на Scala будет:

практический опыт со сценариями Python
практический опыт с библиотекой JavaScript React
понимание PlantUML
понимание концепций функционального программирования

Работая одним из Scala программистов уровня Senior в EPAM Anywhere, ты будешь:

работать в многонациональной команде
эффективно поддерживать коммуникацию при работе удаленно
контролировать свое рабочее время, чтобы сохранять продуктивность и не ставить под угрозу сроки завершения проекта
принимать решения и нести за них ответственность

Базовые обязанности в Scala вакансии для работы удаленно

Фреймворк этого языка зачастую используется для разработки приложений для финансовых учреждений, банков и других платформ. Таким образом, в пул обязанностей Scala программиста на удаленке входит:

участие в процессах разработки продукта компании
написание тестов для новых и уже существующих функций
внедрение передовых технологий
обработка документации основных решений дизайна
разрешение технических трудностей
исправление багов при разработке, анализ журналов данных, оптимизация
создание качественных решений в короткий срок
постоянное развитие профессиональных навыков в соответствии со стремительно меняющимися технологиями

Ознакомься со Scala вакансиями для удаленной работы на платформе EPAM Anywhere, отправляй резюме и присоединяйся к нашей команде экспертов, чтобы получить лучшие условия и незаменимый опыт в проектах глобальных компаний.

Scala вакансии

Удаленная работа для Scala программиста в EPAM Anywhere

Ключевые навыки для Scala разработчика

Базовые обязанности в Scala вакансии для работы удаленно

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