... and improve our big data pipelines in AWS Spark. Assemble large, complex data sets that meet business requirements, ... with building and optimizing big data pipelines in Apache Spark 3+ ... of independent insight and data into network experience and market ...
... other distribution channels to source data. Proficient with software lifecycle and ... -technical clients as SME on data asset offerings. Communicating with stakeholders ...
... Experience with building and optimizing data pipelines using Python Spark or ... , Aurora, or PostgreSQL Experience with data pipeline workflow tools i.e. ... provider of independent insight and data into network experience and market ...
... and improve our big data pipelines in AWS Spark. Assemble large, complex data sets that meet business requirements, ... with building and optimizing big data pipelines in Apache Spark 5+ ... Experience with DBT Experience with data pipeline workflow tools i.e. ...
... also understand what kind of data you work with and think ... DWH BI Good knowledge of data querying and transformation: SQL, Oracle ... ETL processes design and implementation, data lifecycle management Desire to learn ...
... and maintenance of a robust data infrastructure in the field of ... experience in building and managing data infrastructure and using tools such ... of innovation Strong understanding of data governance, security, and compliance standards ...
... dive into the world of Data Mesh and RDDM Platform, including Snowflake and Data Vault concepts. What Youll Do: ...
... using dbt and Redshift. Build data validation rules and data quality monitors for data quality assurance. Optimize data workflows for performance, scalability, and ...
... , aggregating, protecting, and analyzing data has been what we believe ... our founding. We use data to inform our analysis and ... the future of Affirm’s data storage platform. What We Look ... have operated a distributed data storage system such as MySQL, ...
... skilled Data Engineer with expertise in Google ... jobs and data processing workflows for performance, scalability and reliability Ensure data quality, integrity and security throughout the data lifecycle Troubleshoot and resolve data pipeline issues in a ...