Senior Data Software Engineer

EPAM Systems; Brasil; Teletrabalho; BRL 120.000 - 150.000; Tempo integral

Resumo da oferta

Join a leading company as a Senior Data Software Engineer in a remote role. You will design and develop data processing pipelines, collaborate with data scientists, and ensure the scalability and reliability of data solutions. This role requires expertise in Python, Spark, and Databricks, along with strong communication skills. Enjoy international projects, healthcare benefits, and opportunities for professional growth.

Serviços

Healthcare benefits

Employee financial programs

Paid time off and sick leave

Upskilling and certification courses

Unlimited access to LinkedIn Learning

Global career opportunities

Volunteer and community involvement opportunities

Qualificações

• At least 3+ years of experience in data software engineering.
• Deep knowledge of Apache Spark for building scalable data processing pipelines.

Responsabilidades

• Designing and developing data processing pipelines using Apache Spark and Databricks.
• Collaborating closely with data scientists to turn their models into production-ready solutions.

Conhecimentos

Python

Apache Spark

MLOps

Data Analytics

Git

Communication

Ferramentas

Databricks

Microsoft Azure

Descrição da oferta de emprego

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Join our remote team as a Senior Data Software Engineer within a global leader at the forefront of data analytics technologies. We are seeking a hands-on and deeply technical developer to collaborate closely with development peers, product leadership, and other technical staff to create innovative and impactful solutions. This role offers an opportunity to contribute significantly to the design, development, and optimization of features in a dynamic Agile development environment. As a Senior Data Software Engineer, you will be responsible for building and maintaining complex data pipelines, data models, and data analytics solutions. You will also be responsible for turning data science models into production-ready solutions using your expertise in Python, Spark, and Databricks.

Responsibilities

• Designing and developing data processing pipelines using Apache Spark and Databricks
• Building and maintaining data models and analytics solutions using Python programming language
• Deploying and monitoring machine learning models in production environments using MLOps techniques
• Collaborating closely with data scientists to turn their models into production-ready solutions
• Designing and implementing data quality checks and data validation processes
• Ensuring the scalability, reliability, and high performance of data pipelines and analytics solutions
• Providing technical guidance to junior team members and mentoring them to enhance their skills and grow their careers
• Working with stakeholders to understand their needs and translate them into technical requirements
• Collaborating with cross-functional teams to achieve project goals
• Actively contributing to architectural and technical discussions
  
  
  

Requirements

• At least 3+ years of experience in data software engineering
• Deep knowledge of Apache Spark for building scalable and high-performance data processing pipelines
• Experience with Microsoft Azure for cloud-based infrastructure and application management
• Expertise in Python programming language for developing and maintaining data models and analytics solutions
• Familiarity with forecasting models for time-series analysis in data analytics
• Experience with MLOps for deploying and monitoring machine learning models in production environments
• Familiarity with Git for version control and collaboration
• Experience with Databricks for collaborative data science and data engineering
• Excellent communication skills in spoken and written English, at an upper-intermediate level or higher
  
  
  

Nice to have

• Knowledge of Panda is a plus
• Good understanding of SQL and relational tables
  
  
  

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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