Data Engineer

DaSi AG
Frankfurt am Main, Germany
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
1 year minimum
Working hours
Regular working hours
Languages
German
Job source

Tech stack

Java (Programming Language) Amazon Web Services Data Analysis Microsoft Azure Computer Programming Data Cleansing Data Integration Extract Transform Load (ETL) Data Warehousing Monitoring of Systems Python (Programming Language) Machine Learning
+6 more
NoSQL SQL Databases Google Cloud Information Technology Data Management Databricks

Job description

  • Development and maintenance of scalable ETLs (queries, programs, automated process) and building new data organization to support data increases in quality, volume and complexity.
  • Collaboration with analytics and business teams to improve insights from a centralized datalake, always keeping in mind the single source of truth, providing data models using business intelligence, data science and other valuable tools, increasing data accessibility and helping to keep the company even more data-driven.
  • Writing unit/integrations tests, contribution to engineering wiki and documents work.
  • Ensuring data quality and production stability through monitoring technologies and excellence data development methodologies.
  • Performance of data analysis required to troubleshoot data related issues and assistance in the resolution of data issues; Design of data integrations and data cleaning process.
  • Close collaboration with other teams, product managers and business users.

Requirements

  • Extraordinary analytical, problem-solving and self-learning skills along with great team spirit
  • Communication skills and out-of-the-box-mindset
  • Degree in Computer Science, Informatics or a comparable subject (Machine Learning, Mathematics, Applied Statistics)
  • 1+ year leading with at least one cloud environment ( GCP, AWS,Azure,..)
  • Programming experience in Python; additional experience in Java is a plus
  • Familiarity with SQL/NoSQL data management and Kimball Star Model Schema
  • 2+ years with ETL and Datawarehouse concepts
  • German language or Databricks knowledge skills are a plus

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