Associate Software Engineer - Backend Developer (Java, Scala, Big Data)

Responsibilities

• Understand the enterprise architecture within the context of existing platforms, services and strategic direction. 
• Implement solutions in Big Data analytics framework along with customized solutions that are scalable, with primary focus on performance, quality, maintainability, cost and testability. 
• Collaborate in the creation of common components, while allowing customization of solutions for different products.
• Conduct guided hands-on development of data analytics in line with reporting needs as reference implementation for the team. 
• Learn how to verify accuracy, performance, scalability, stability, cost-effectiveness and maintainability of team delivery. 
• Leverage theoretical knowledge of design patterns, standards and best practices to support spikes activities.  
• Practice Agile methodology.

Key Skills

• Domain Expertise
• 1+ years of experience as a backend developer in common languages and frameworks: Java, Scala, Big Data, Hadoop, Spark, Spark SQL, Presto \ Hive, SQL, Cloud (preferably AWS), Docker, RDBMS (such as Postgres and/or Oracle), Linux, Shell scripting, GitLab, Airflow.
• E - Bachelor’s degree in computer science, engineering (any), or related (foreign equivalent degree acceptable), experience as a professional developer in information technology solutions development, or related. Having studied statistical methods and operation research is a plus


• Technical Skills
• Experience in Java with a mastery of object-oriented design principles; Experience in big data using Spark in developing distributed processing applications; building applications with immutable infrastructure in the AWS (Amazon Web Services) Cloud with automation technologies like Terraform or Ansible or Cloud Formation. 
• Any level of experience in and/or knowledge of: Hadoop, Service-oriented architecture, Kubernetes, Docker, Scala, Airflow, SQL, NoSQL, Spark Streaming, and Git.
• Knowledge of Agile software development methodology
• Demonstrated ability to architect pluggable, reusable platform components pertinent to data analytics and ingestion technologies
• Demonstrated knowledge of software development technology, principles, methods, tools, and practices and industry standards and trends; and current web and database technologies.
• Demonstrated effective analytical, oral and written communication, project management, and strategic problem-solving and solution-finding skills.


• Mindset and attributes
• Strong communication skills with ability to communicate complex technical concepts and align organization on decisions
• Sound problem-solving skills with the ability to quickly process complex information and present it clearly and simply
• Utilizes team collaboration to create innovative solutions efficiently