Job description
Your contribution to something big:
Build data systems & pipelines according with business needs;
Conduct raw data organization and cleansing (from different data sources) including data analysis, reporting on the results;
Interpret data trends, patterns and issues;
Build algorithms and prototypes for real-time data processing;
Writes unit/integration tests, contributes to engineering wiki, and documents work;
Apply quality assurance and test procedures to improve data reliability contributing to engineering documentation;
Align data projects with organizational goals.
Qualifications
What distinguishes you:
Background in IT, data or computer science;
Knowledge about databases and data warehouses, including data extraction, transformation and loading;
Knowledge about big data ecosystem (e.g. HDFS, HIVE, Impala, HBase);
Knowledge on data processing methods and tools (e.g. Spark);
Experience with data API’s, message brokers and SW interfaces;
Knowledge on data models, data mining, and segmentation techniques;
Knowledge of programming languages;
Knowledge of data management and visualization techniques and tools (Spark, Tableau and Power BI);
Good communication skills.
Additional Information
What we offer you:
Challenges in an international environment | career opportunities in one of the best companies in the world | flexible hours | medical services | discounts for employees | sports and health related activities | canteen | good access to public transports | space for creativity.
Success stories don´t just happen. They are made...
Make it happen! We are looking forward to your application!
