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Company Overview:
Ulrich GmbH & Co. KG is a consulting organization focused on Digital Transformation, fostering a vibrant community of professionals dedicated to excellence.
About Us:
Established with a commitment to transparency, collaborative intelligence, and co-creation, we prioritize a strong dedication to our clients and partner consultants.
Key Areas of Expertise:
To effectively support our clients throughout their projects, we specialize in three main domains:
- Data & Cloud
- Product & Project Management
Your Responsibilities:
1. **Data Integration within a Data Marketplace:**
- Document technical data across various Data Domains (e.g., Customer, Account, Transaction).
- Analyze the data model to fulfill the specific requirements of group consumers.
- Extract and transform data within the Data Marketplace.
- Monitor and document the pipelines that have been implemented.
2. **Development of Data Pipelines:**
- Create data pipelines utilizing the Databricks platform (PySpark, SQL).
- Adhere to best practices and lakehouse modeling (DataVault).
- Deploy developments in CI/CD mode (Azure DevOps).
- Examine existing processes on DataStage to document and reintegrate indicators into the new architecture after validation.
- Assist in the integration of new Golden Source products.
Qualifications:
To be considered for this role, candidates should possess:
- A minimum of 6 years of experience in Data Engineering.
- At least 2 years of experience with Databricks, holding either Databricks Certified Data Engineer Associate or Databricks Certified Data Engineer Professional certification.
- Proficiency in Python, Spark, and SQL.
- Experience with Airflow and Dbt (data build tool).
- Background in the banking sector.
Inquiries:
If you have any questions or require further clarification, please feel free to reach out.
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