Performance Areas: Data and Flow Management: Monitor and manage system backups and Evolution data synchronization and constant data flow (Regional and Local) with minimal system "Down days" and clean data maintenance backup procedures for data integrity and conduct successful recoveries. Respond to data loss incidents, implement administration qualification essential (e.g., SQL Server). Data analysis experience. Proven experience as an IT
with relevant regulations and policies related to data privacy, security, and access Managing relationships processes, as well as backing up and archiving data. Developing data retrieval and recovery procedures. See Description
Analytics: Responsible for developing and managing a data warehouse for the business, including all ETL processes Computer Science, Data Science or Information Technology Minimum of 2 years' experience in data analysis, business business process mapping Firm understanding of data warehousing, data modelling and ETL processes Sound understanding
functionality of DAM Components Make sure that the generated data is delivered to SPLUNK on a regular defined base on PostgreSQL Make sure that defined PostgreSQL data bases are monitored tight communication and cooperation cooperation with relevant interface partners Assist data base operations team application teams with DAM Tool. Make sure that DAM does not interfere with Data base functionality Engage with software providers least on a quarterly base Build a cloud solution for Data Base Activity monitoring Get known to different
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”)
learning platforms, network systems (LAN and WiFI), data systems, and audio/visual systems. General Responsibilities recommendations to management for improving processes. Capture procurement items on the business workflow system
implementation of all warehouse activities being accurately captured on Odoo and/or another related software • Proactively
Create RESTful APIs Create data clients to consume RESTful APIs Integrate data storage solutions, including of Spring Boot Ability to script and manipulate data in JavaScript/Typescript (knowledge of a server-side
definition. Elicit requirements using interviews, data analysis, business process descriptions, use cases Degree 5-8 years' progressive experience within a big data environment (Banking, Finance, Mobile Network, Value
IDOCs)