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Lead Data Software Engineer

EPAM Systems

Brasil

Teletrabalho

BRL 120.000 - 150.000

Tempo integral

Hoje
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Resumo da oferta

A global leader in banking and financial services is seeking a Lead Data Software Engineer to join their remote team. The role involves designing and implementing data solutions, collaborating with cross-functional teams, and mentoring junior engineers. This position offers opportunities for international projects, healthcare benefits, and a culture recognized for excellence.

Serviços

Healthcare benefits
Employee financial programs
Paid time off and sick leave
Upskilling and reskilling courses
Unlimited access to LinkedIn Learning
Global career opportunities
Volunteer and community involvement opportunities
EPAM Employee Groups
Award-winning culture

Qualificações

  • Minimum 5 years experience in Data Software Engineering.
  • At least 1 year leading a team of data software engineers.
  • Fluent in English at an upper-intermediate level or higher.

Responsabilidades

  • Design and implement data solutions for business requirements.
  • Build and maintain data pipelines using Apache Spark and Airflow.
  • Provide technical guidance and mentorship to junior engineers.

Conhecimentos

Python
SQL
Data Engineering
Apache Spark
Apache Airflow
Agile Methodologies
Code Reviews
Automated Testing
Data Manipulation
English

Ferramentas

GitLab
Docker

Descrição da oferta de emprego

1 day ago Be among the first 25 applicants

We are seeking a highly skilled Lead Data Software Engineer to join our remote team, working with a global leader in banking and financial services. With a legacy of over 70 years, this bank offers a wide range of services, including financing and leasing, foreign exchange, and investment banking. As a Lead Data Software Engineer, you will be responsible for designing, developing, and implementing data solutions that enable the bank to make data-driven decisions and improve its overall performance.

Responsibilities
  • Design, develop, and implement data solutions that meet business requirements and enable data-driven decision-making
  • Collaborate with cross-functional teams to understand business needs and translate them into technical requirements
  • Build and maintain data pipelines using Apache Spark and Apache Airflow
  • Perform data modeling and optimization to ensure data quality and accuracy
  • Ensure code quality and maintainability through code reviews and automated testing
  • Provide technical guidance and mentorship to junior engineers
  • Collaborate with DevOps teams to ensure smooth deployment and operation of data solutions
Requirements
  • A minimum of 5 years of experience in Data Software Engineering, demonstrating expertise in designing and implementing data solutions
  • Proven experience of at least 1 year in leading a team of data software engineers, demonstrating your ability to manage and mentor team members
  • Extensive knowledge of Python and SQL, including experience with data manipulation libraries such as Pandas
  • Experience with Apache Spark and Apache Airflow, showcasing your ability to build and maintain data pipelines
  • Practical experience with AWS Big Data Services, including EMR, Lake Formation, and Glue
  • Excellent knowledge of software engineering best practices, including Agile methodologies, code reviews, and automated testing
  • Fluent spoken and written English at an upper-intermediate level or higher
Nice to have
  • Experience with GitLab and Docker, showcasing your familiarity with containerization and version control technologies
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
  • An award-winning culture recognized by Glassdoor, Newsweek, and LinkedIn
Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Information Technology, Engineering, and Business Development
Industries
  • Software Development, IT Services and IT Consulting, and Financial Services
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