Job
In this role, you will develop new data sources for our AWS-based Databricks data platform, integrate them, implement SRE practices, and optimize existing processes.
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Your role in the team
- You work in an agile cross-functional team on our Databricks data platform, hosted in the AWS cloud.
- Using data modelling techniques, you unlock new sources and integrate this data.
- You implement new use cases and optimize existing processes.
- You establish modern SRE practices (SLOs, SLIs, incident and postmortem processes) and foster a sustainable culture of learning from failure.
- You rely on automation and Infrastructure as Code to increase efficiency and stability.
- You work closely with (Technical) Product Owners, architects, and the business, and actively contribute your expertise.
- With our big picture in mind, you actively develop new topics, put our internal and external customers at the center, and shape the experience of our digital solutions.
Our expectations of you
Qualifications
- You have in-depth knowledge of working with Apache Spark and related optimization methods and technologies.
- You are familiar with relevant OLAP and OLTP patterns and work with CDC, streaming, and batch data processing.
- ETL pipelines are tools you know well.
- You have experience building and maintaining CI/CD pipelines (e.g., GitHub Actions).
- You use Terraform or CDK to manage cloud infrastructure.
- You are familiar with Data Mesh, both from a technological and a conceptual and organizational perspective, e.g. Open Data Contracts.
- You have an understanding of data architecture and the design of data products (Medallion architecture).
- AWS Developer and Solutions Architect certifications are a plus.
- You speak Python and SQL like your native languages.
- You thoroughly test your solution at every level, for example using pytest and Robot Framework.
- Sharing knowledge and building expertise are central to your approach, and you enjoy using them to coach employees.
- You have excellent written and spoken German or English skills.
Experience
- You have at least 3 years of experience developing solutions for data-intensive systems, such as data platforms, data warehouses, and data lakes.
- You have some initial experience with observability (monitoring, logging, tracing), for example with Dynatrace.
What we offer
- We’re growing, and we want you to grow with us.
- That’s why we offer you a modern workplace full of opportunities and prospects.
- A hybrid working model with up to 3 days of FlexOffice.
- Responsible, interesting, and challenging tasks, along with attractive earning opportunities.
- A collaborative work environment and professional development opportunities that help you grow.
- A team spirit others envy—with many specialists who want to make a difference together.
- An open-door policy and a company culture that encourages your initiative and commitment.
Benefits
Health, fitness & fun
Work-Life-Integration
Food & drink
Topics you will work on
Job locations
About your employer
SCHUFA ist die Abkürzung für „Schutzgemeinschaft für allgemeine Kreditsicherung“ und unser Name steht seit unserer Gründung im Jahr 1927 für Seriosität und Zuverlässigkeit. Als führender Lösungsanbieter von Auskunftei- und Informationsdienstleistungen für Unternehmen und Verbraucher verfügen wir über Daten zu 67,9 Millionen natürlichen Personen und 6 Millionen Unternehmen. Damit sind wir eine zuverlässige Informationsquelle für Unternehmen und Verbraucher.
- 1927
- Digital Agency
- Onsite, Hybrid
- Banking, Finance, Insurance · Internet, IT, Telecommunication
Employer reviews
- Working conditions
- 4.6
- Team culture
- 3.3
- Engineering
- 2.8
- Career growth
- 3.2
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