Frankfurt,Germany
Permanent
Skills
ETL, Data Warehousing, data integration
Python,
Data Modelling
Datalakes
Amazon AWS (AWS)
SCala
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Must be fluent German and English Speakers
· Designing and implementing data architecture solutions on the AWS platform, including data lakes, data warehouses, and data pipelines.
· Knowledge on AWS S3, Redshift, Glue etc. is must.
· Collaborating with cross-functional teams to understand business requirements and translate them into technical solutions.
· Developing and maintaining data governance and security best practices within the AWS environment.
· Optimizing performance and cost efficiency of data solutions on AWS through effective resource utilization and monitoring.
· Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
· 10-12 years of experience in data architecture, with a focus on cloud-based solutions, particularly AWS.
· In-depth knowledge of AWS services related to data management and analytics.
· Strong understanding of data modeling, ETL processes, and data integration techniques.
· Experience with programming languages such as Python, Java, or Scala.
· Excellent communication and collaboration skills to work effectively with diverse teams.
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