Utilizing data modeling tools such as ERStudio, Erwin. Integrating of multicloud services e.g. Azure cloud. Data modeling, data warehousing, and building highvolume ETLELT pipelines. Data profiling and data quality tools. Buildingoperating highly available, distributed systems of data extraction, ingestion, and processing of large data sets. Working with at least one MPP database technology such as Redshift, Synapse or SnowFlake. Running and scaling applications on cloud infrastructures and containerized services such as Kubernetes. Working with version control systems like Github and deployment CI tools. Agile development, including DevOps and DataOps concepts. Working with business intelligence tools and Software development, data engineering, and systems architecture.

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