Senior Data Software Engineer

EPAM Systems; Brasil; Teletrabalho; BRL 100.000 - 130.000; Tempo integral

Resumo da oferta

A leading company is seeking a remote Senior Data Software Engineer with expertise in Apache Spark, Microsoft Azure, and Python. This role involves developing data pipelines, ensuring data quality, and collaborating with data scientists on machine learning models. Join a team working on high-impact projects with global brands, offering opportunities for growth and a supportive work culture.

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

Award-winning culture

Qualificações

• At least 3+ years of experience in data software engineering.
• Strong knowledge of forecasting models and MLOps.

Responsabilidades

• Collaborate with teams to build and maintain data integration solutions.
• Develop and optimize data pipelines using Apache Spark and Azure.
• Ensure data quality and monitor data pipelines.

Conhecimentos

Apache Spark

Microsoft Azure

Python

Data Science

MLOps

Git

Analytical Skills

Problem Solving

Agile Development

Communication

Ferramentas

Databricks

Pandas

SQL

Descrição da oferta de emprego

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We are seeking a remote Senior Data Software Engineer to join our team. The right candidate will have a strong technical background with expertise in Apache Spark, Microsoft Azure, and Python. This position offers a unique opportunity to work on a high-impact project with one of the world's most recognized brands.

Responsibilities

• Collaborate with cross-functional teams to build and maintain the data integration solution
• Develop, build, and optimize data pipelines using Apache Spark, Microsoft Azure, and Python
• Ensure data pipelines are scalable, maintainable, and reliable
• Take data science models and make them production ready
• Develop and maintain forecasting models to support business decisions
• Ensure data quality and consistency across all data sources
• Monitor and optimize data pipelines to ensure efficient and effective data processing
• Collaborate with data scientists to develop and implement machine learning models
• Work with the team to continuously improve and optimize the data integration solution for Fedex
• Stay current with emerging technologies and trends in data software engineering
  
  
  

Requirements

• At least 3+ years of experience in data software engineering or similar roles
• Expertise in Apache Spark, Microsoft Azure, and Python
• Strong knowledge of forecasting models, data science, and MLOps
• Experience working with Databricks to build, maintain, and optimize data pipelines
• Ability to take data science models and make them production ready
• Experience with Git for version control
• Understanding of basic Azure concepts including clouds, regions, ADLS, and compute
• Strong analytical and problem-solving skills with the ability to think critically and creatively
• Experience working in Agile development environments
• Excellent English communication skills, both written and verbal (B2+ level)
  
  
  

Nice to have

• Experience with Panda for data manipulation and analysis
• Strong knowledge of SQL and relational tables
• Understanding of statistical models and the ability to develop models utilizing Python, Spark, etc.
• Knowledge of ML tools space
  
  
  

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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