Job Description
Data Technical Lead
Role: Data Tech Lead
Location: Frankfurt, Germany (Hybrid)
Type: Permanent OR Contract
Salary: 85,000 euros/year
Contract Rate: 400-500 euros/day
Must be fluent in German and English.
Designing and implementing data architecture solutions on the AWS platform, including data lakes, data warehouses, and data pipelines.
Knowledge of AWS S3, Redshift, Glue, etc. is a 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.
AWS S3, Redshift, Glue, ETL, Python
Role: Data Tech Lead
Location: Frankfurt, Germany (Hybrid)
Type: Permanent OR Contract
Salary: 85,000 euros/year
Contract Rate: 400-500 euros/day
Must be fluent in German and English.
Designing and implementing data architecture solutions on the AWS platform, including data lakes, data warehouses, and data pipelines.
Knowledge of AWS S3, Redshift, Glue, etc. is a 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.
AWS S3, Redshift, Glue, ETL, Python
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