Data Engineer
Lufthansa Systems
- Gdańsk, pomorskie
- Stała
- Pełny etat
- Gathering and analyzing business requirements and expectations,
- Finding relation between business requirements and existing data model,
- Identification of new necessary data sources based on business requirements,
- Providing proof-of-concepts in cooperation with business,
- Planning of the stories and tasks including estimations for the realization of the identified requirements,
- Implementing new functionalities based on gathered and analyzed requirements,
- Developing changes and improvements in the existing processes,
- Analysis of exceptional data configurations,
- Implementation of import and export processes into and from the data warehouse,
- Constant documentation of the particular steps and the final product.
- Atmosphere that stimulates development,
- Individual career path,
- Flexible working time and place adjusted to your needs,
- Support for your passion for sports within the local activity groups,
- Private medical care for employees and their family members.
- Atmosphere that stimulates development,
- Individual career path,
- Flexible working time and place adjusted to your needs,
- Support for your passion for sports within the local activity groups,
- Private medical care for employees and their family members.
- Commercial experience in Data Processing using : database procedural language (e.g.: T-SQL, PL/SQL) and ETL tools (e.g.: Azure Data Factory, Microsoft SSIS, Oracle ODI, Kettle ETL, Informatica),
- Min 2 years of experience in a similar position,
- Very good knowledge of SQL,
- Knowledge of Version Control tools,
- Good knowledge of English in speaking and writing (B2/C1),
- Team player with good communication skills.
- Experience with Azure (Data Bricks, Data Factory, Synapse),
- Database operations experience (partitioning, index/statistics maintenance, performance analysis),
- General knowledge of Unix/Linux systems,
- Experience with Teradata,
- Knowledge of Python (Numpy, Pandas),
- Knowledge about Agile/Scrum methodologies.