Tech-Stack
Konzepte
Software-Engineering, DWH, ETL & ELT, Datenintegration, Projektmanagement, Data Mining & Predictive Analytics, Machine Learning, Big Data Architekturen, verteilte Systeme, BI Strategie, Kennzahlen (KPIs), OLAP, Dashboard & Report Design, Anforderungsmanagement, Dokumentation, Fachkonzeption & fachliches Design, Testentwicklung & -durchführung, Datenqualitätsmanagement, Scrum, DevOps
Technologien & Tools
Big Data Technologien, Apache Spark, PySpark, Kafka, Airflow, Zeppelin, Databricks, CDSW, Hadoop, Datenbanktechnologien, SQL, APIs, MySQL, MS SQL Server, PostgreSQL, Redshift, SAP Hana, Exasol, Oracle, NoSQL, Cassandra, MongoDB, Hive, Impala, Redis, ElasticSearch, BI Tools, Datawarehouse Technologien, ETL Tools, Reporting & Dashboarding Tools, Microsoft Power BI, Tableau, Pentaho, Microstrategy, Knime, SSIS/SSAS, Business Intelligence Studio, Cloud Computing, AWS (EC2, Redshift, DynamoDB, EMR, Kinesis, Glue, Athena, QuickSight), Azure, GCP (Dataproc, Bigquery), Analytische Tools, Jupyter, Pandas, Numpy, Scikit-learn, Tensorflow/Keras, Django, Flask, FastAPI, Falcon, Git, Docker, CI/CD, Kubernetes, Python, Scala, VBA, JavaScript, Java, PHP, Bash-Scripting
Branchen
- Banken
- Bildung/Forschung
- Großhandel
- Informationstechnologie
- Tourismus
- E-Commerce
- Software