... in designing and developing data pipelines and data modelling solutions using modern processing frameworks have experience with data warehouse technologies, like Amazon Redshift, Snowflake, ... an understanding of ML data ops environments i.E. SageMaker ...
... in designing and developing data pipelines and data modelling solutions using modern processing frameworks have experience with data warehouse technologies, like Amazon Redshift, Snowflake, ... an understanding of ML data ops environments i.e. SageMaker ...
... in designing and developing data pipelines and data modelling solutions using modern processing frameworks have experience with data warehouse technologies, like Amazon Redshift, Snowflake, ... an understanding of ML data ops environments i.e. SageMaker ...
... ). responsibilities : As a Big Data developer you are responsible for building ... Databricks, Presto, and modern data warehousing solutions (Synapse, BigQuery, Redshift ... with concepts such as Data Marts, Data Warehouses, Data Lakes Very good English (verbal ...
... in designing and developing data pipelines and data modelling solutions using modern processing frameworks have experience with data warehouse technologies, like Amazon Redshift, Snowflake, ... an understanding of ML data ops environments i.e. SageMaker ...
... ensure seamless integration of data-driven initiatives Stay ahead of ... leveraging CI CD pipelines in data-based products experience with data pipelines framework, preferably Kedro experience ... searching for an experienced Data Scientist with a keen focus ...
... in designing and deploying data applications on cloud solutions, such ... that apply to a big data environment Experience with big data tools like Hadoop, Spark, Kafka, ... grow professionally, working on leading data analytics projects and technologies You ...
... wartości danych - obszary takie jak Data Engineering, Business Intelligence, Data Science nie są Ci obce, ... na poziomie Professional Google Cloud Data Engineer, Microsoft Azure Data Engineer, AWS Certified Data Analytics lub Oracle Database SQL ...
... an in-depth knowledge of data science tools and techniques, which ... how to cleanse and prepare data before including it in data science products and can put ... will : develop and implement advanced data science, AI, and Machine Learning ...
... the solution: apart from using data processing tools (e.G., ETL), ... tools and best practices. The data is either exposed to downstream ... several of the following technologies: Data Lake Gen2, Event Hub, Data Factory, DataBricks, Azure DWH, API ...