Lead Data Software Engineer

Data Software Engineering

Location-specific conditions & benefits*

Argentina

We are in search of a highly proficient Lead Data Software Engineer to join our remote team, contributing essential support to our Data Science units.

As a pivotal team member, your role involves constructing datamarts, crafting REST APIs, and offering on-call assistance for spontaneous requests. Your contribution will be instrumental in propelling the triumph of our initiatives, concentrated on furnishing cutting-edge solutions for our clientele within the healthcare domain.

Responsibilities

Guide and nurture the Data Software Engineering team, instilling a culture of continuous learning and advancement within the unit
Coordinate with multifaceted teams to furnish top-notch software solutions aligning with project objectives and schedules
Establish and manage datamarts, ensuring streamlined and scalable data administration
Fabricate REST APIs, facilitating seamless incorporation with diverse applications and systems
Extend on-call support for impromptu requests, guaranteeing prompt issue resolution
Devise and execute data pipelines using Apache Airflow and Apache Spark
Collaborate intimately with Data Science teams, delivering technical support and direction
Ensure the execution and sustenance of CI/CD pipelines to ensure the efficient rollout of application releases
Persistently assess industry trends and optimal practices, refining and implementing highly effective software engineering approaches
Engage with stakeholders, showcasing exemplary communication and leadership proficiencies

Requirements

A minimum of 5 years' experience in Data Software Engineering, encompassing intricate infrastructures and expansive projects
Demonstrated leadership experience of at least 1 year, adept at overseeing and directing a team of Data Software Engineers
Proficiency in Amazon Web Services, adept at constructing and deploying scalable solutions in the cloud milieu
Robust familiarity with Apache Airflow and Apache Spark for devising and scheduling data pipelines
Strong knowledge of Python and SQL for executing ETL and data manipulation assignments
Experience with CI/CD pipelines to facilitate the streamlined deployment of application releases
Superlative analytical and problem-solving acumen, enabling astute decision-making in intricate settings
High-level English language proficiency, ensuring lucid communication and collaboration with the team and stakeholders

Nice to have

Familiarity with Redshift and Databricks for data processing and analysis

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