11.09.2026 aktualisiert


Premiumkunde
100 % verfügbarData Engineer
Leipzig, Deutschland
Deutschland
Master of ScienceSkills
APIsApache AirflowAmazon Web ServicesBankingBash ShellBusiness IntelligenceGoogle BigQueryCloud ComputingComplianceDatenbankenBeratungContinuous IntegrationETLDatenqualitätDistributed Computing
Core Competencies:
- design and implementation of ETL and ELT processes using PySpark, pandas, dbt
- design and implementation of end-to-end machine learning systems in production environments
- implementation of test frameworks
- enablement of enhanced analytics
- collaboration across business and technical stakeholders
Software Engineering
- Languages: Python, Scala, Bash/Shell, SQL
- Libraries/Frameworks: pandas, scikit-learn, airflow, Flask
- distributed computing: Apache Spark & PySpark, Dask
- Cloud: AWS, GCP, Azure, Docker, Kubernetes, Serverless Architecture
- Databases: PostgreSQL, Snowflake, Redshift, Data Lakes, BigQuery, SAP Hana
Domain Expertise
- Business Intelligence
- Fraud Prevention & Fraud Detection
- Consulting
- Banking, E-Commerce, Tourism
- Compliance, Data Quality systems, Governance
- Git
- Docker
- SQL
- CI/CD
Communication & Collaboration
- agile collaboration with cross-funcional teams and stakeholders using frameworks like scrum or kanban
- ability to understand and explain complex IT topics in a way that non-technical people can understand
- active listening
- clear and structured documentation of code, processes, and decisions
- fluent in German and English
Erfahrung
Berufserfahrungmehr als 10 Jahre
Freelancer seit2022
Sprachen
DeutschMutterspracheEnglischverhandlungssicher
Projekthistorie
Model Development – Anti-Financial Crime (AFC)
- Designed and implemented ETL pipelines and ML workflows to enhance transaction monitoring efficiency.
- Contributed to the internal reimplementation of Actimize for parameter tuning using statistical methods and machine learning.
- Automated ETL testing and optimized PySpark pipelines on a Hadoop cluster, reducing execution and model training times significantly.
- Authored comprehensive pipeline documentation, ensured data quality, and performed detailed code and process reviews.
- development of data pipelines in pyspark
- implementation of data transformations and data validations on ERP data
- creation and optimization of airflow DAGs
- working on CI/CD pipelines in jenkins and docker
- python, pyspark, airflow, SQL, docker, AWS
- development of data pipelines in pyspark
- creation of automated data validation and data transformation to ensure data quality
- development of microservices and backend-tools using python and docker
- working scrum framework
- python, pyspark, docker, SAP

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Versichert bis: 01.09.2028