... : Design, develop, and optimize scalable data pipelines and ETL processes to ingest, transform, and load large volumes of structured and unstructured data from various sources into our data warehouse. Implement data models, schemas, and architectures to ...
... models that are compatible with warehouse standards. Commissioning and decommissioning of data sets. Processing confidential data and information according to guidelines. ...
... to create and maintain optimal data pipeline and data access architecture, SQL and NoSQL database design, and Data Warehouse design skills Knowledge of data integration patterns and tools (Kafka, ...
... tools and technologies Experience querying data using T-SQL and SQL language Experience working with data using the Python language Experience creating and sharing data models data marts data warehouses Experience working with APIs A ...
... tools and technologies Experience querying data using T-SQL and SQL language Experience working with data using the Python language Experience creating and sharing data models data marts data warehouses Experience working with APIs A ...
... process of designing and implementing data warehouses, data lakes, relational non-relational databases, visualization and reporting (business intelligence), and data migration consolidation. You have experience ...
... to create and maintain optimal data pipeline and data access architecture, SQL and NoSQL database design, and Data Warehouse design skills Knowledge of data integration patterns and tools (Kafka, ...
... maintain ELT pipelines in Enterprise Data Warehouse to ensure reliable business reporting Design & build ELT based data models using SQL & dbt Build ...
... , including merging records and resolving data problems in existing data sources Preparing data for delivery to data warehouses as new data products. Manage the data mapping process and maintain data consistency and standards in BDI ...
... customer uptake - Manage multiple junior data scientists Who you will be ... love to see: • Experienced with data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL ...