... layouts for complex, large-scale data sets used for modeling, data mining, and research purposes.• Defines strategy for use of data and how data use interacts with data design.• Works with Data Engineer to design and implement ...
... and implement scalable ETL ELT data pipelines to collect, process, and ... ). Hands-on experience with cloud data platforms such as AWS Redshift, GCP BigQuery, or Azure Data Lake. Familiarity with data security best practices and compliance ...
... Advanced Analytics, Cloud, Data Governance, Visualisation to Enterprise Performance ... 10+ years in data consulting, including experience as a Data Architect and Data Engineer . Proven expertise in BI, data architecture, and data engineering, with at least 5 ...
... -world experiences.Youll own critical data pipelines of our data warehouse and the resulting data products that are used daily ... team, interacting with roles like data analysts, data scientists, marketing, and product managers ...
... (10+ years).10+ years in data consulting, including experience as a Data Architect and Data Engineer.Proven expertise in BI, data architecture, and data engineering, with at least 5 ...
... and implement scalable ETL ELT data pipelines to collect, process, and ... ). Hands-on experience with cloud data platforms such as AWS Redshift, GCP BigQuery , or Azure Data Lake . Familiarity with data security best practices and compliance ...
... new ways to implement automate data quality and reliability processes with ... with a special emphasis on data solutions and services. 5+ years ...
... measure the effectiveness of the data & AI governance program. QUALIFICATIONS Degree ... regulations related to AI and data. Experience in the area of data data stewardship and similar profiles. Structured ...
... have. About our technology and Data stack Google Cloud Platform as ... software in containers dbt for data transformation Looker and Looker Studio ... management tool Synq as a data observability tool Among others third ...
... a strong background in data analysis, an understanding of data quality principles, and experience with data profiling, data cleansing, and root cause analysis. You will work closely with Data Owners, Data Custodians, Data Users, Data Engineers, and other ...