6 часов назад
Staff Data Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Data Engineer (AI): Designing and developing a cloud data platform and end-to-end pipelines for Sonar’s code remediation products with an accent on Python, AWS, data storage, transformation, and governance. Focus on building batch and streaming ETL/ELT systems, developing data connectors, and maintaining secure, documented data flows.
Location: Geneva, Switzerland; on-site. Three anchor office days are Mondays, Tuesdays, and Thursdays. Candidates must be genuinely based in Geneva for the role, with relocation support available for the right person.
Company
develops AI code verification and governance products that help organizations build reliable, secure, maintainable, and compliant software.
What you will do
- Design and develop the data platform supporting functional domains and data ownership.
- Design and implement data storage, transformation, loading, and end-to-end pipeline capabilities.
- Build and deploy connectors to relevant data sources and manage data handling services for stakeholders.
- Establish data cleaning and modelling practices for batch and streaming pipelines.
- Maintain data-flow documentation and collaborate on data governance across domains.
- Work with security and incident management functions to implement standards and post-mortem recommendations.
Requirements
- Solid software engineering experience focused on cloud data engineering pipelines and storage.
- Strong experience building end-to-end ETLT, ETL, or ELT pipelines with Python and batch or streaming technologies.
- Strong AWS experience, including services such as Glue, Redshift, CloudFormation, S3, CloudWatch, and Lambda, or equivalents.
- Knowledge of big data architecture, data lakes, data warehouses, streaming, ETL batches, and data store administration.
- Experience with infrastructure-as-code tools such as CDK, CloudFormation, or Terraform.
- Fluent English, written and spoken, is required.
Nice to have
- Experience working with Databricks as a platform.
- Experience building data pipelines with PySpark.
Culture & Benefits
- Full-time employee position based in an in-office hub.
- Structured collaboration rhythm with three anchor office days each week.
- Relocation support for the right candidate.
- Commitment to diversity, equity, inclusion, and equal opportunity.
- Comprehensive background and reference checks are required before starting.
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