AWS Backend Developer

Do you want a job where you can make a difference and take on responsibility? You help us develop the next generation of our reporting platform and create a scalable data basis for data-driven decisions. Join an innovative young team in Renens (Lausanne).

How you make a difference

• You develop and operate modern data pipelines on AWS, from raw data ingestion to the curated data layer.
• You work with the team to implement batch and streaming solutions with Apache Spark on AWS Glue, EMR Serverless and Apache Kafka.
• You play an active role in shaping the development of our data lakehouse architecture with Apache Iceberg, AWS Lake Formation and Amazon Athena.
• You use AWS Step Functions and Amazon EventBridge to orchestrate complex data and processing workflows.
• You make an important contribution to ensuring the high quality and stability of the platform through monitoring, observability and automated controls.
• You make targeted use of CloudWatch, Grafana and OpenLineage to ensure transparency and traceability throughout the entire data processing chain.
• In association with internal stakeholders, you support solutions from the initial design through to implementation and operation based on the principle of “You build it, you run it”.

What you have to offer

• You have several years of experience in developing productive data pipelines with Scala (2.12) and Apache Spark (3.x), and you are familiar with best practices for high-performance, testable and maintainable applications with Scalatest, Scalafmt and ScalaFix.
• Your in-depth knowledge of SQL and Apache Iceberg enables you to handle ACID transactions, table formats and schema evolution securely in modern data lakehouse architectures.
• In the AWS environment, you have practical experience with at least three relevant data services such as AWS Glue, Amazon EMR Serverless, Amazon Athena, AWS Lambda, AWS Step Functions, Amazon S3 or AWS Lake Formation.
• You use Terraform (version 1.2 or higher) to describe and manage cloud infrastructures and have a good understanding of the entire infrastructure-as-code life cycle.
• Ideally, you have already gained experience with Apache Kafka, OpenLineage, AWS Lake Formation or modern monitoring and reporting solutions such as Grafana, Amazon QuickSight or Power BI.
• To complete your profile, you enjoy working with interdisciplinary teams, take an independent approach to your work and are able to convey technical issues in an understandable way.
• You are confident communicating in German or French; you have a good command of English in a technical environment.

What you have to offer You have several years of experience in developing productive data pipelines with Scala (2.12) and Apache Spark (3.x), and you are familiar with best practices for high-performance, testable and maintainable applications with Scalatest, Scalafmt and ScalaFix. Your in-depth knowledge of SQL and Apache Iceberg enables you to handle ACID transactions, table formats and schema evolution securely in modern data lakehouse architectures. In the AWS environment, you have practical experience with at least three relevant data services such as AWS Glue, Amazon EMR Serverless, Amazon Athena, AWS Lambda, AWS Step Functions, Amazon S3 or AWS Lake Formation. You use Terraform (version 1.2 or higher) to describe and manage cloud infrastructures and have a good understanding of the entire infrastructure-as-code life cycle. Ideally, you have already gained experience with Apache Kafka, OpenLineage, AWS Lake Formation or modern monitoring and reporting solutions such as Grafana, Amazon QuickSight or Power BI. To complete your profile, you enjoy working with interdisciplinary teams, take an independent approach to your work and are able to convey technical issues in an understandable way. You are confident communicating in German or French; you have a good command of English in a technical environment.