and data APIs, to extract, transform, and load (ETL) data into the data warehouse. Stay updated on industry may involve additional responsibilities related to ETL development. Qualifications and Skills: Bachelor's
integrity throughout the process. Design and implement ETL processes as needed.
Database with data integration tools and technologies (e.g., ETL, ELT).
information systems Strong experience managing Data (ETL) pipelines and APIs Experience developing data lakes Develop and manage a data warehouse and integrate ETL data pipelines from various source systems to roll-out
data analysis and reporting solutions. Perform testing to ensure information meets requirements and accurately
(SQL, Postgres SQL, etc.).
- Knowledge of the ETL process and BI tools
- Experience with financial
business stakeholders to analyze, design, develop, test and support enterprise level Business Intelligence developing Microsoft OLAP solutions Experience with ETL utilizing SSIS Experience with Microsoft Azure database
the native TM1 rules engine.
warehouse/ data mart design and configuration
working experience in building enterprise standard ETL/ ELT processes as well as data lakes and a focus
working experience in building enterprise standard ETL/ ELT processes as well as data lakes and a focus
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