We are seeking an experienced Lead Data Software Engineer to join our team. This role is integral to the ongoing development of a comprehensive and unified data software engineering framework across all projects within our company. As the Lead Data Software Engineer, you will define and implement data software engineering best practices, ensure the quality and consistency of all deliverables, and promote the uptake of industry best practices across the organization. If you have a demonstrated history of leading Data Software Engineering teams and a passion for process improvement and quality control, we encourage you to apply.

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

Responsibilities

• Work with prodct and engineering teams to understand requirements and help drive decisions
• Maintain collaboration with architects, technical leads, and key individuals within other functional groups
• Perform analysis of business problems and technical environments and use this in the implementation of quality technical solutions
• Participate in code review and test solutions to ensure they meet best practice specifications
• Write project documentation
• Implement innovative analytical solutions using Spark/PySpark, NoSQL, and other Big Data-related technologies

Requirements

• Experience in software development with Big Data technologies (e.g. administration, configuration management, monitoring, debugging, and performance tuning)
• Strong SQL experience
• Proficiency in Python with the ability to design, develop, and maintain efficient data software solutions
• Strong knowledge of Apache Spark
• Engineering experience and practice in Data Management, Data Storage, Data Visualization, Operation, and Security
• Familiar with concepts of data ingestion pipelines, Data Warehousing, and Data Lakes
• Knowledge and practical experience in the development of scalable, available, and fault-tolerant systems
• Understanding of CI/CD principles and best practices
• Knowledge of Containers and Resource Management systems: Docker, Kubernetes, Yarn

We offer

• Connectivity Bonus (15,000 ARS are paid with a salary receipt at the end of each month as a non-wages concept)
• Medicina Prepaga (It covers the collaborator and direct family group)
• Paternity Leave (Two additional days are added to what is established by law, total of 4 days)
• Discounts card
• English Training (English lessons, twice per week)
• Training Program (Access to multiple customized training plans according to the needs of each role within the company)
• Marriage bonus (The company doubles the allowance established by law that ANSES offers)
• Referral Program (Referral bonus is paid when the referral of a collaborator joins the Company)
• External Agreements and Discounts
• Vacations: 14 calendar days a year

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