Job Description
Job Title: Software Engineering Expertise
Description:
We are seeking a highly skilled software engineer with extensive expertise in designing and implementing scalable data engineering solutions. The ideal candidate will have expert knowledge of software development processes, solid experience in testing and evaluating systems, and be highly motivated in finding technical issues and fixing them with meticulous code.
This is a hybrid position requiring three days per week onsite collaboration with internal users across different locations. The successful candidate will work closely with global teams to evaluate and improve engineering efficiency, performance, and scalability.
Responsibilities:
- Develop tools and frameworks to automate the development, testing, deployment, and operation of services.
- Design and scale distributed applications using both synchronous and asynchronous patterns.
- Build reliable, efficient ETL pipelines and APIs for secure data access and analytics.
- Monitor and maintain system functionality, identifying areas of improvement and proactively addressing issues.
- Partner with Product Managers and UX Designers to shape and deliver future product features and capabilities.
Requirements:
- Proven track record as a Software Engineer or Developer in Agile environments, with the ability to lead technical initiatives end-to-end.
- Extensive hands-on experience with Python for building robust, scalable applications.
- Strong expertise with Databricks for developing, optimizing, and deploying large-scale data analytics and machine learning solutions.
- Prior experience with Elixir, React/JavaScript, HTML, and CSS for full-stack development.
- Proficiency in AWS, Terraform, and SQL, with practical experience deploying and managing cloud-based infrastructure.
- Experience designing and maintaining scalable ETL pipelines, integrating RESTful APIs, and leveraging big data frameworks such as Apache Spark and Hadoop.
- Familiarity with containerization and orchestration technologies such as Docker (Kubernetes a plus).
- Strong understanding of the software development lifecycle, networking, and system design principles.
- Skilled in scripting and test automation, enabling efficient CI/CD in cloud environments.
- Ability to produce clear, comprehensive documentation for development, testing, analytics, and support processes.
- Exceptional problem-solving skills and proven ability to collaborate with distributed, cross-functional teams.
- Excellent verbal and written communication skills, with the ability to convey complex technical concepts to both technical and non-technical audiences.
Culture and Benefits:
Our company is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.
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