Lead Data Software Engineer

Data Software Engineering

Location-specific conditions & benefits*

Argentina

We are looking for a skilled Lead Data Software Engineer to join our remote team for the AI regulations project, which aims to boost the capacities of administrative service centres to deliver accessible and inclusive assistance. In this role you will take charge of designing, developing and maintaining scalable and efficient data software solutions. You will also lead a team of developers, providing technical guidance and support throughout the development lifecycle. If you have a passion for data software engineering and a drive to make a difference, we encourage you to apply.

Responsibilities

Design, develop, and maintain scalable and efficient data software solutions
Lead a team of developers, providing technical guidance and support throughout the development lifecycle
Collaborate with cross-functional teams to analyze and understand project requirements
Ensure software quality and maintainability through code reviews, testing, and documentation
Optimize and fine-tune data software solutions to ensure enhanced performance and scalability
Provide regular updates on project progress and communicate effectively with stakeholders
Stay up-to-date with industry trends and emerging technologies, and apply them to improve our data software solutions

Requirements

5+ years of relevant experience in Data Software Engineering
1+ year of experience in leading a team of developers
Expertise in Python core and Pandas
Proficiency in working with Databricks, Amazon Web Services and Azure Data Factory
Experience in Power BI report development and Jupyter Notebook
Strong understanding of data software engineering principles and concepts
Ability to design and implement scalable and efficient data software solutions
Effective communication and leadership skills to lead a team of developers
Fluent English language skills with an upper-intermediate level

Nice to have

mExperience with other programming languages such as Java and Scala
Knowledge of machine learning and data science techniques

Benefits

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