Trainee Data Engineer (with German)

We are growing fast - and we invite you to grow with us. In Innowise, you can not only develop as an expert in your field, solve complex problems and influence the result, but also see how the finished project affects the world around. We are a close-knit team of professionals who have already implemented 1300+ cases for clients from the USA, Denmark, Germany, etc. We need someone, who will strengthen our team and become part of the community!

Basic requirements:

• Knowledge of Python, SQL, experience with Pandas or NumPy libraries
• Knowledge of database fundamentals: types of database relationships, ACID principles, relational vs NoSQL databases, data normalization and denormalization, row-based vs columnar data storage
• Knowledge of basic Big Data concepts — OLAP vs OLTP, ETL vs ELT, Data Warehouse, Data Lake, Data Lakehouse
• Understanding of data modeling: Inmon vs Kimball (vs Data Vault approaches), Star/Snowflake schema, Fact/Dimension tables, SCD, Data Marts
  
  

Advantages:

• Familiarity with various data formats: CSV, JSON, Parquet, ORC, Avro, Delta Lake, Iceberg and Hudi
• Experience with Big Data frameworks: Spark, Airflow, Kafka or DBT
• Understanding of Cloud technologies and their practical application