modelling, ETL processes, and data warehousing
projects and teams. Expertise in data warehousing, ETL processes, and data visualization tools. Strong understanding
projects and teams. Expertise in data warehousing, ETL processes, and data visualization tools. Strong understanding
Experience with data engineering tools such as ETL Tools, Data Pipeline Tools, Data Warehousing Tools
sure that data is stored efficiently, and write and test database code, including SQL (Structured Query Language) with data modelling, data warehousing, and building ETL pipelines. Strong Problem Solving and Communication concise technical specifications and detailed unit testing. Ability to integrate into API layer with Java/Spring
understanding of ETL and data modelling. • Ability to ingest data into AWS S3, perform ETL into RDS or Redshift data modelling, data structures, databases, and ETL processes. • An in-depth understanding of large-scale
architecture Domain driven development Test driven development, incl. unit testing during development before code code is deployed for QA and testing Continuous integration / deployment Managed source control Security and Reporting (SSRS, PowerBI) Data Integration, ETL and Data Migration experience Ability to integrate
architecture Domain driven development Test driven development, incl. unit testing during development before code code is deployed for QA and testing Continuous integration / deployment Managed source control Security and Reporting (SSRS, PowerBI) Data Integration, ETL and Data Migration experience Ability to integrate
working experience in building enterprise standard ETL/ELT processes as well as data lakes and a focus on
Understanding of data flows, data architecture, ETL and processing of structured and unstructured data