... analysts to navigate large-scale data hubs effectively. As the Lead ... skills, gain substantial experience in data modeling, and drive the strategic ... various projects related to Big Data and Cloud. COLLABORATION: Be part ...
... critical metrics. Establish and manage data connections between SAC and on- ... in Computer Science, Information Technology, Data Analytics, or a related field; ... issues in report creation and data integration. Excellent communication skills to ...
... be instrumental in data decision-making across our organization. ... business strategies. Transform raw data into insights by developing data models, data marts, and automating reporting processes ... code to perform data analysis. Ability to absorb technical ...
... processes for cleaning and structuring data for many different sources - marketing APIs (tools and ad systems), Data Transfers, internal backend exports Connecting data sources (e.g. Google Tag Manager, Google Analytics, Braze, Insider, Facebook- ...
... currently developing an IT & Data Hub in Warsaw and in ... from experts and experienced managers but how much you will ... meetings with your future managers at Danone. Do not hesitate and join our IT&DATA Team in Poland which vision ...
... ARE Passionate about cloud and data analytics, inspiring person that enjoy ... years of experience delivering complex data warehouse data lake business intelligence solutions. 2 ... various projects related to Big Data and Cloud. COLLABORATION: Be part ...
... of data processes, pipelines, and data models Requirements: Experience in data engineering, with a focus on ESG data Proficiency in data engineering tools and technologies (e ... of data warehousing and big data technologies (e.g., Hadoop, Spark) ...
... to deliver user value. Data scientists are at the crux ... publish them to our data warehouse to help answer all ... technical audiences. Establishing the Data Science presence in a new ... peers and leaders across data science, design, and engineering organizations ...
... . Design, implement, and optimize robust data pipelines. Data Modeling: Develop scalable and efficient data models to meet analytical requirements. ... to Airflow. Familiarity with modern data engineering practices and tools. What ...
... for expanding and optimizing the data flow and data pipeline architecture, model and analyze data, interpret trends or patterns in complex data sets and translate them into ...