Data Architect
... in development and maintenance of data management solutions (data warehouses, data integration, BI reporting, Big Data), defining data and information management strategies in ...
... in development and maintenance of data management solutions (data warehouses, data integration, BI reporting, Big Data), defining data and information management strategies in ...
... . 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 ...
... of ETL processes, data pipelines in BIG DATA architecture Creation and maintenance of data pipelines: receiving data from medical units and structuring data in an internal database Expansion ... ETL processes in the Big Data domain Practical knowledge of SQL ...
... , Java, or Scala. Experience with Big Data technologies like Hadoop, Spark, and distributed data storage systems. Good understanding of ...
... language., Hands-on experience with data related tech stack from at ... ETL tool (e.g. Azure Data Factory, Informatica, Cloud Data Fusion, AWS Glue, Apache NiFi ... in Azure AWS Google cloud (data engineering paths), Certification in Databricks ...
... or object to processing of data, request access to them, rectification, ... or object to processing of data, request access to them, rectification, ... lodge a complaint to the data protection supervisory authority. Candidates who ...
... of structured and unstructured data. Building data pipelines to ingest data from various sources such as ... years of experience within Data&Analytics Very good level of ... with other cloud technologies, data warehouses, data governance, and business analysis is ...
... -usable, self-service frameworks for data ingestion implementation of warehouses, data lakes, data marts and data processing pipeline solutions for new ... , Python. Knowledge of the DWH, Data Lake, Lakehouse design principles. Strong ...
... the global, legal regulations. Reference Data Management Intermediate Analyst is a ... analytical thinking and knowledge of data analysis tools and methodologies. Requires ... teams to contribute to critical banking applications Hybrid model of working ...
... design, conduct, and communicate advanced data analysis projects that address key ... operational constraints • Proficient in using data analysis tools and programming languages, ...