Data Engineer (w/m/d)
Core
Design, operate, and optimize robust data pipelines and ELT processes for analytical and operational use cases.
Role type
Data Engineer
Builds
Serverless infrastructure in AWS, data and backend components, CI/CD pipelines
Domain
Cloud infrastructure, Data Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Python, SQL, Git, GitLab CI/CD, Docker, AWS (CloudFormation, Lambda, CloudWatch, SQS, SNS, DLQ, ECS, S3, IAM), ELT processes
Preferred skills
Snowflake, dbt, Kafka, Kinesis, Firehose, Java, Terraform, Oracle DB, Kubernetes, Apache Iceberg, Rust
Technologies
AWS, GitLab CI/CD, Docker, Python, SQL, Snowflake, dbt, Kafka, Kinesis, Firehose, Java, Terraform, Oracle DB, Kubernetes, Apache Iceberg, Rust
Responsibilities
Develop and maintain data pipelines and ELT processes; Build serverless AWS infrastructure; Automate cloud infrastructure with CloudFormation; Develop data and backend components; Manage CI/CD processes; Containerize applications with Docker; Collaborate with business units and analytics teams; Document architecture and operational procedures.
Seniority
Mid-Senior, hands-on IC
