Senior Data Analyst
... diverse backgrounds. Technologies we use: Data Warehouse Big Data: Snowflake, ADL (Azure Data Lake), and Postgres Reporting: Power BI Data Pipelines: Kafka, Python, SQL, Airflow, ...
... diverse backgrounds. Technologies we use: Data Warehouse Big Data: Snowflake, ADL (Azure Data Lake), and Postgres Reporting: Power BI Data Pipelines: Kafka, Python, SQL, Airflow, ...
... diverse backgrounds. Technologies we use: Data Warehouse Big Data: Snowflake, ADL (Azure Data Lake), and Postgres Reporting: Power BI Data Pipelines: Kafka, Python, SQL, Airflow, ...
... diverse backgrounds. Technologies we use: Data Warehouse Big Data: Snowflake, ADL (Azure Data Lake), and Postgres Reporting: Power BI Data Pipelines: Kafka, Python, SQL, Airflow, ...
... diverse backgrounds. Technologies we use: Data Warehouse Big Data: Snowflake, ADL (Azure Data Lake), and Postgres Reporting: Power BI Data Pipelines: Kafka, Python, SQL, Airflow, ...
... diverse backgrounds. Technologies we use: Data Warehouse Big Data: Snowflake, ADL (Azure Data Lake), and Postgres Reporting: Power BI Data Pipelines: Kafka, Python, SQL, Airflow, ...
... the definition of Corporate Data Big Data strategy that will meet the ... to all Group-wide Data studies coordinated by the Group Data Management Office by actively monitoring Data subjects and emerging Data Big Data technologies. Proposes evolutions of the ...
... interaction with business users, technical developers), technical and functional specifications, as well as with the definition of ToR for data products use cases Experience with Data tools (eg Data Catalogue) Knowledge on SQL databases ...
... models;Experience as Senior Database Developer, Solution Designer or Data Architect (architecture, planning & roadmap, solution ...
... . In-depth knowledge of cloud data services, data warehousing, big data technologies, and data lakes. Expertise in data modeling, data integration, and ETL processes. Familiarity with data governance, data security, and compliance standards. Proficiency ...
... . In-depth knowledge of cloud data services, data warehousing, big data technologies, and data lakes. Expertise in data modeling, data integration, and ETL processes. Familiarity with data governance, data security, and compliance standards. Proficiency ...