As an Oracle Cloud Data Engineer, you're stepping into a pivotal role where you'll be instrumental in harnessing the power of Oracle Cloud technology to drive data-driven solutions. Your expertise will be crucial designing, implementing, and optimizing data pipelines, ensuring seamless data integration and accessibility for transformative data initiatives. Together, we'll unlock the full potential of our data ecosystem and drive
sector. Get ready to dive into the dynamic world of data-driven solutions, where every insight you uncover Skills: SAP BW / SAP SAC. Data Modelling and data engineering skills. SAP BW 7.5 Data Modelling and BEX skills skills SAP BW4/HANA Data Modelling skills SAP BW4/HANA Query Modelling skills Any additional responsibilities
specifications and timelines. Create data models, analyze data, and generate reports to provide relevant deploy Power BI scripts, perform deep data analysis, and optimize data retrieval using SQL queries. Track Indicators (KPIs), use visualizations for better data understanding, and improve ETL procedures to develop disabled candidates who hold a BSc Degree in IT, Data Science, or a related diploma. We are dedicated disabled candidates who hold a BSc Degree in IT, Data Science, or a related diploma. We are dedicated
and maintaining SAP BW data models. Extracting, transforming, and loading data from various source systems Strong understanding of SAP BW architecture and data modeling concepts. Proficiency in SAP BW tools and DataSources, and InfoObjects. Experience with SAP BW data extraction, transformation, and loading (ETL) processes
tasks. a) Account Management · Achieve timeous PO capturing on Sage for AP to be able to accrue costs incurred
tasks. a) Account Management · Achieve timeous PO capturing on Sage for AP to be able to accrue costs incurred
expertise in optimising database performance, ensuring data security, and implementing best practices in Microsoft efficiency. 3. Data Security: Implement robust security measures to protect sensitive data, including access and auditing mechanisms, ensuring compliance with data protection regulations. 4. Best Practices Implementation: maintenance, ensuring scalability, reliability, and data integrity. 5. Backup and Recovery: Develop and maintain maintain backup and recovery strategies to minimise data loss and downtime in case of system failures or
An AWS Data Engineer with -12 years hands-on data engineering experience is required to join a team of Oracle/PostgreSQL Py Spark Boto3 ETL Docker Linux / Unix Big Data PowerShell / Bash Glue CloudWatch SNS Athena S3 Business Intelligence (BI) Experience Technical data modelling and schema design (“not drag and drop”)
automation standards and procedures Data Quality Assurance Data Science Java Development with J2EE and/or
and procedures. Build a good understanding of the data lake and work flow procedures in order to ensure Forecast balance sheet and cash flow requirements and capture/upload budgets and forecasts (both IS & BS)