Our engineering team is embracing a transformative journey, shifting from Data at Rest to Data in Motion through event-driven architecture (EDA) and NoSQL storage technologies. Do you believe that testing should be at the core of every engineering initiative? Do you see ruthless simplification and continuous refactoring as the essence of great engineering? If you are passionate about fostering an engineering culture built on these principles, this is your chance. As technology evolves at an ever-increasing pace, we are expanding our teams to harness these advancements and modernize our entire Data Management Platform. Join us to explore, innovate, and shape the future of data-driven solutions.
The impact you'll make:
- Be a key contributor in the implementation of solutions
- Create cloud-native data analytics frameworks using technologies like Python, Kafka, Flink and Kubernetes to process large datasets, enhancing the speed and accuracy of our production data analytics platform.
- Able to operate within a lean agile team of cloud software engineers to partner with business and technology teams to design and develop scalable and highly available cloud-native solution
- Contribute to the development of cutting-edge enterprise data solutions in a fast-paced environment using modern solutions to solve complex data challenges leveraging the cloud
- Provide world-class support across cloud engineering, operations and applications
- Contribute improvements to our development processes and GitHub Actions based CI/CD pipelines.
- Willing to learn new technologies, capable of self-directed learning
- Author and maintain technical design documents.
- Refactor design and implementation for stories owned, based on requirement changes.
- Define and maintain coding standards and guide team members to comply with these standards.
- Collaborate with quality assurance engineers to fix defects.
- Ability to handle multiple assignments concurrently and independently manage time
What you'll bring to us:
- Minimum Bachelor’s degree in Computer Science or related major from top institutions, Master’s degree is a plus.
- Open-source frameworks and developing native Cloud solutions.
- Experience with service-based architectures, such as microservices.
- Experience with data practices and technologies including data lake, data warehousing, analytics and business intelligence.
- Experience working with Agile methodologies (Scrum, Lean Startup, XP) and multi-functional teams (Product Owners, Scrum Masters, Developers, Designers, Data Analysts)
- Excellent communication skills, the ability to translate technical concepts to business concepts and vice versa
- Client focused, proactive, and results oriented
- Quickly learns new technologies; proactively seeks to improve
Preferred Skills:
- Strong experience with programming languages: Java, C#, R, Python
- Competent in Development tools: Visual Studio, IntelliJ, GIT
- Competent in Development Platforms: Microsoft Windows, Linux.
- Familiarity with Databricks
- Familiarity with databases: MongoDB, SQL, MySql, etc.
- Familiarity with Apache Kafka and Flink is a plus
Some of the benefits you’ll enjoy working with us:
- The chance to work in innovative projects with leading brands, that use the latest technologies that fuel transformation.
- The opportunity to be part of an amazing, multicultural community of tech experts.
- A competitive compensation package and medical insurance.
- A flexible and remote working environment.
Come and join our #ParserCommunity.
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