Data + Backend Engineer - SkillUp

SkillUP is a Talent Growth Platform that is designed to empower individuals to continuously grow, professionally, by creating alignment on role-specific professional excellence definitions, highlighting growth opportunities, and providing personalized growth plans.

We’re building the future workforce of AT&T’s Technology organization, while working tightly with domain owners and top management to define what per-role excellence means, leveraging data from development tools to help infer proficiency levels, providing tailored development plans and training & learning material, and harnessing the individuals themselves for their professional and personal development.

Responsibilities:

• Be responsible for the products’ architecture and maintain its performance in challenging circumstances
• Maintain high standards of software quality by establishing best practices
• Design, implement, and maintain the complete data flow, from extraction to visualization using external tools
• Work within a product team where solutions are collaboratively proposed. You will be expected to translate requirements into technical designs and implement them as part of large-scale data engineering solutions
• Utilize various Machine Learning models to explore data, collaborating with cutting-edge big data tools and techniques
• Collaborate with various stakeholders to plan, design, develop, test and maintain extraordinary features
• Translating requirements into high-quality code
• Seeing through a project from conception to finished product
• Collaborating with a team of skilled developers to develop high-traffic, cloud-based applications
• Participating in code reviews to maintain code quality and sharing best practices with the team
• Provide guidance and mentorship to junior developers, promoting continuous learning and improvement within the team

• At least 5 years of experience as a backend developer (Java and Spring-Boot)
• Experience with large-scale web applications and the ability to deep dive into complex applications
• In-depth understanding of Object-Oriented Programming (OOP) and SOLID principles
• At least 3 years of experience in Big-Data technologies as a data engineer, including ETL/ELT processes and data exploration
• At least 3 years of experience with Spark, Spark Streaming, Databricks, Airflow and other components required in building end-to-end data pipelines
• At least 3 years of experience in Python programming and SQL queries
• At least 1 year of experience in data visualization tools, such as PowerBI, Tableau
• Team player committed to the success of the team
• Strong verbal and written communication skills with the ability to clearly explain technical concepts.
• Keen attention to detail
• Practical knowledge with software engineering best practices (testing, code reviews, scalability, etc.)
• Excellent debugging, investigating and problem-solving abilities
• Curious learner who loves sharing knowledge and best practices, and can work both independently and in a team
• Proven experience in building, supporting, and monitoring microservices architecture
• Ability to thrive in a fast-paced, ambiguous, and changing environment

We are hiring for various positions within the company, with some roles offered through outsourcing. Join us and enjoy a dynamic and flexible work environment.