Senior Data Software Engineer

EPAM Systems; Brasil; Teletrabalho; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

Join EPAM Systems as a Senior Data Software Engineer in a fully remote role focused on innovative data integration solutions. You will work closely with development teams to design and implement scalable data architectures, ensuring the deployment of models and processes in a dynamic Agile environment, enhancing your technical expertise and career growth.

Serviços

International projects with top brands

Healthcare benefits

Employee financial programs

Paid time off and sick leave

Upskilling and certification courses

Unlimited access to LinkedIn Learning

Global career opportunities

Qualificações

• 3+ years in software engineering focused on data integration.
• Experience with Apache Spark and Databricks for large datasets.
• Expertise in Microsoft Azure for cloud applications.

Responsabilidades

• Design and implement data integration solutions responsive to business requirements.
• Collaborate with data scientists to make models production-ready.
• Implement MLOps processes for machine learning models.

Conhecimentos

Python

Apache Spark

Databricks

MLOps

SQL

Data Integration

Descrição da oferta de emprego

1 week ago Be among the first 25 applicants

Join our remote team as a Senior Data Software Engineer within a globally recognized company that specializes in delivering innovative technology solutions. We are currently seeking a hands-on technical expert to collaborate closely with development peers, product leadership, and other technical staff to create innovative data integration solutions. The successful candidate will have the opportunity to contribute significantly to the design, development, and optimization of features in a dynamic Agile development environment.

Responsibilities

• Designing and implementing data integration solutions that meet business requirements and are scalable, efficient, and reliable
• Collaborating with data scientists to transform their models into production-ready solutions
• Developing and implementing data integration processes and workflows using Apache Spark and Databricks
• Working closely with cross-functional teams to identify and resolve data-related issues and ensure data quality
• Implementing MLOps processes to ensure that machine learning models are deployed and maintained in production environments
• Designing and implementing data architecture and storage solutions in Microsoft Azure
• Designing and implementing data migration solutions to migrate data from on-premise systems to Microsoft Azure
• Performing code reviews, ensuring code quality and adherence to standards
• Mentoring junior team members, helping them enhance their skills and grow their careers
• Actively participating in architectural and technical discussions
  
  
  

Requirements

• At least 3 years of experience in software engineering with a focus on data integration solutions
• Experience with Apache Spark for processing large datasets, and Databricks for data integration and machine learning workflows
• Expertise in Microsoft Azure for cloud-based infrastructure and application management
• Deep understanding of Python programming language and knowledge of forecasting models and statistical models
• Experience with MLOps for taking data science models and making them production ready
• Familiarity with Git for version control
• Excellent knowledge of SQL and relational tables
• Ability to design and develop scalable and efficient data integration pipelines using Python, Spark, and other relevant technologies
• Experience with developing machine learning models and utilizing ML tools and libraries
• Excellent communication skills in spoken and written English, at an upper-intermediate level or higher
  
  
  

Nice to have

• Experience with Panda library for data manipulation and analysis is a plus
• Knowledge of cloud computing concepts such as regions and ADLS
• Experience with other Microsoft Azure services such as Azure Data Factory and Azure Stream Analytics
  
  
  

We offer

• International projects with top brands
• Work with global teams of highly skilled, diverse peers
• Healthcare benefits
• Employee financial programs
• Paid time off and sick leave
• Upskilling, reskilling and certification courses
• Unlimited access to the LinkedIn Learning library and 22,000+ courses
• Global career opportunities
• Volunteer and community involvement opportunities
• EPAM Employee Groups
• Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn
  
  
  

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology, Engineering, and Business Development

• Industries

  Software Development, IT Services and IT Consulting, and Retail

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