06.11.2025 aktualisiert
100 % verfügbar
Data Engineering, Cloud, DWH & Analytics
Kiel, Deutschland
Weltweit
M. Sc. Data ScienceSkills
PythonpandasTerraformExasolSQLDWHAnalytics EngineeringAmazon Web Services (AWS)Google Cloud PlatformAmazon EC2Google BigQueryAWS RedshiftELTetlcloud run gcpAWS ECSAWS LambdaEnterprise Data WarehousingTableauMicrosoft PowerBIBusiness Intelligence FlaskAWS S3DockerScrumAgile Software DevelopmentJIRA
Cloud: GCP, AWS, DevOps, Terraform, S3, EC2, ECS, Lamdba, Cloud Run, Cloud Compute,
Data Engineering: BigQuery, Python, Pandas, PyArrow, ETL, ELT, Data Warehouse, SQL, Exasol, PostgreSQL, teradata,
Data Science: Natural Language Processing, Network Graphs, Deep Learning (PyTorch), Clustering Algorithms, Language Processing
Analytics & BI: Analytics Engineering, Data Integration, Data Modeling, Power BI, Tableau, Qlik, Looker
Other: Jira, Github, Lua, Docker, Github Actions, shell script, agile development, CI/CD, Typescript,
Sprachen
DeutschMutterspracheEnglischverhandlungssicherSpanischverhandlungssicher
Projekthistorie
Design of CI/CD Pipelines and Cloud Platform Infrastructure for Data and Analytics Team.
Data Integration from Various Sources SAP, Oracle, ...
Cost Optimisation of Data Storage and Processing
...
Advanced Analytics and Forecasting, Data Integration, Carbon Accounting Calculations, Data Quality Management, CI/CD Pipelines
Building Data-Intensive Applications on AWS, BI Data Warehouse Optimization, terabyte-scale data processing and integration in eCommerce / Online Marketing, Cloud DevOps, Optimization of ETL Pipelines