SAP Analytics Rockstar Wanted Team: SAP Analytics Platform Are you ready to rock the SAP Analytics world looking for any old analytics pro. We need a superstar with the skills to turn data into gold, and the You Choose to Accept It): Mastermind the SAP Analytics Cloud (SAC) with your operational, development and authorization wizardry. Be the guru of SAP Analytics Administration. Connect the dots by linking SAC
SAP Analytics Cloud SAP Datasphere User creation on SAP Analytics Cloud Creation of SAP Analytics Cloud Datasphere (advantageous) ESSENTIAL SKILLS SAP Analytics Cloud operational, development & authorization experience SAP Analytics Administration deep experience Connectivity to Connect SAP Analytics Cloud to other documentation SAP BW development skills Development of Data Flows from source to target (BWonHANA & BW4/HANA) Programming Knowledge SAP Solution Manager experience SAP Data Intelligence Experience across any other SAP modules
COMMENCEMENT: As soon as possible ROLE: Responsible for CA Data Management of central sector and all plants and guidelines Consult users how to store the CA data and permanent data archives as well as run reports Assign (Windows only) Create CA data structure as per GROUP guidelines Rearrange CA data structure as per project obsolete CA data using web application CA Cleanup Tool (Unix only) Backup and restore CA data Allow users work on weekends (changes) Serve as contact for data management related questions in the cloud Serve
as possible ROLE: Data Engineers are responsible for building and maintaining Big Data Pipelines using using GROUP Data Platforms. Data Engineers are custodians of data and must ensure that data is shared in line Boto3 ETL Docker Linux / Unix Big Data Powershell / Bash GROUP Cloud Data Hub (CDH) GROUP CDEC Blueprint Business Intelligence (BI) Experience Technical data modelling and schema design (“not drag and drop”) Boto3 ETL Docker Linux / Unix Big Data Powershell / Bash GROUP Cloud Data Hub (CDH) GROUP CDEC Blueprint
Requirements: Sound knowledge in Python and Java Data Science concepts and principles Experience in tools applications. Architecture and Interface Design. Data modeling and Database technologies (relational,
Are you passionate about leveraging data-driven insights to shape the future of automotive technology technology? Our client is looking for a talented Data Scientist to join their AI Platform team and drive innovation REQUIREMENTS: Strong background in mathematics and good analytical and problem-solving skills. Any additional responsibilities
creation of databases, planning and maintenance of data configuration, implementation and enforcement of of Automated data archiving Automated data compression Automated table partitioning Data restoration Oracle learn. Ability to follow instructions. Strong analytical skills
ETL
- Docker
- Linux / Unix
- Big Data
- PowerShell / Bash
- Enterprise Collaboration
Experience with data formats: Parquet, AVRO, JSON, XML, CSV
- Experience with Data Quality Tools (e
Expertise in data modeling (Oracle SQL)
- Strong analytical skills for large data sets
- Testing
Testing and data validation experience
- Precise documentation skills
- Self-driven with ability
independently and in teams
- Experience with AWS Glue, Data Pipeline, or similar
- Familiarity with AWS
Our client requires the services of a Data Scientist/Engineer (Entry) – Midrand/Menlyn/Rosslyn/Home Office SKILLS Strong background in mathematics and good analytical and problem-solving skills. Any additional responsibilities
and managing applications on Kubernetes clusters Data modelling and Database technologies (relational