Data Engineer Supply Chain (m/w/d)
... impactful analytics solutions that drive business value. Cloud and Big Data Technologies: Leverage cloud platforms (e.g., AWS, Azure, Google Cloud) and big data tools (e.g., HDFS, Spark, ...
... impactful analytics solutions that drive business value. Cloud and Big Data Technologies: Leverage cloud platforms (e.g., AWS, Azure, Google Cloud) and big data tools (e.g., HDFS, Spark, ...
... the complexity of SoundCloud’s vast data ecosystem to exploit and get value from data. You will work closely with business reporting, data science, and product teams. You ...
... can synthesize multiple streams of data into actionable communication that will ... questions, and seek truth through data Like a brave first responder, ... key part of our People Data team, you’ll support critical tasks ...
... can synthesize multiple streams of data into actionable communication that will ... questions, and seek truth through data Like a brave first responder, ... key part of our People Data team, you’ll support critical tasks ...
... status quo. Design and implement data models and solutions that meet business requirements. Collaborate with cross-functional teams to define data architecture standards and best practices. ...
... status quo. Design and implement data models and solutions that meet business requirements. Collaborate with cross-functional teams to define data architecture standards and best practices. ...
... to build and execute on data roadmaps, delivering tangible business outcomes. Experience working with external ...
... to build and execute on data roadmaps, delivering tangible business outcomes.Experience working with external ...
... RepRisks growth pushing forward our data architecture and data governance, and by putting in place advanced data observability and data quality pipelines and processes. You ...
... of Sagemaker Jupyter, and data lake • Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required. • Implement business and IT data requirements through new data strategies and designs across ...