Senior Fullstack Engineer

- Academic degree in computer science, software engineering, machine learning engineering, or related field - From 3 to 8 years of professional software development experience using languages such as Python, Spark, SQL, Scala, or Rust - Strong knowledge of cloud technology such as Microsoft Azure, or GCP - Strong knowledge of all-in-one analytics platforms such as Databricks, or Microsoft Fabric - Strong knowledge of data pipeline orchestration platforms such as Azure Data Factory, or Control-M - Experience in using data warehouse and data lake solutions such as SAP BW and Azure Data Lake - Experience with test-driven development as well as with testing & data quality frameworks such as pytest, or great expectations in Python - Experience with SQL & No-SQL databases such as Azure SQL, or MongoDB - Experience with RESTful APIs and microservice architecture - Experience with GIT version control - Strong knowledge of software design patterns & principles, functional programming, and object-oriented programming - Strong ability to write clean, maintainable and scalable code - Strong knowledge of Azure Event Hub, Apache Kafka and its ecosystem - Strong knowledge of stream processing frameworks such as Confluent KSQL, or Spark Structured Streaming - Strong knowledge of containerization and orchestration technologies such as Docker, or Kubernetes - Experience with data serialization languages such as JSON, or YAML - Experience with infrastructure as code such as Terraform - Experience with DevOps tools such as Azure DevOps, or GitHub - Experience with agile methodologies, such as Scrum or Kanban (e.g. with tools such as Azure DevOps, or Jira/Confluence) - Excellent communication, collaboration, and problem-solving skills