Responsibilities:

• Store, process, analyze and explore/visualize data on the Google Cloud Platform


• Work on data migrations and transformational projects and with customers to design large-scale data processing systems


• Develop data pipelines optimized for scaling, and troubleshoot potential platform challenges.


• Design, write and support extract, transform, and load (ETL) processes to automate data collection and manage ML and reporting processes/pipelines including data quality and monitoring.


• Combining existing data sources (e.g. BigQuery) with Machine Learning API


• Collaborate with Data Scientists, Web Analysts, and business stakeholders to ensure our data infrastructure meets constantly evolving requirements.

• Bachelor's degree in Computer Science/Mathematics  or equivalent practical experience.


• Experience in one or more programming languages such as Python,  Java or C++, and working with datasets using SQL.


• Experience designing databases, defining and implementing system requirements for data collection.


• Experience writing, maintaining and monitoring both streaming and batch ETLs operating on structured and unstructured sources.


• Experience with  data processing software (e.g., Hadoop, Spark, Pig, Hive) and data processing algorithms


• Familiarity with Machine Learning libraries (such as TensorFlow, Keras) or statistical analysis using Python, R.


• Fluent English language knowledge, German is an advantage