with IT analysts/developers to translate business requirements into Data/IT requirements. Data extraction CDEs (Critical Data Elements) source to target mapping (STTM), including knowledge of data dictionaries dictionaries Taxonomies Data Transformation Advanced data analysis using excel (Pivot tables) and the ability to Tools Data Remediation and associated activities: Data Remediation planning and tracking Data quality quality dashboards (design and implementation) Data Governance Compliance Knowledge of project assurance and
with IT analysts/developers to translate business requirements into Data/IT requirements. Data extraction CDEs (Critical Data Elements) source to target mapping (STTM), including knowledge of data dictionaries dictionaries Taxonomies Data Transformation Advanced data analysis using excel (Pivot tables) and the ability to Tools Data Remediation and associated activities: Data Remediation planning and tracking Data quality quality dashboards (design and implementation) Data Governance Compliance Knowledge of project assurance and
Our mining client is currently seeking the services of a Data/Technical analyst to join their team for KEY PERFORMANCE AREAS ·View, analyse and compare data from mining site to provide valuable insights that that drive business decisions ·Translate data into reports and dashboards and communicate to stakeholders work with data sets from different data sources to collate information for stakeholders Data extraction
Our client is seeking a vibrant Data Analyst 6-month contract journey within a dynamic team. Our client is a thriving international Footwear and Clothing member of their Operations team, you will spearhead data insights and reporting strategies aimed at maximizing raw data to produce bespoke stock and sales reports for stakeholders
both the Chief Operating Officer, the Chief Information Officer (CIO) is a member of the UJ Executive leadership to advance and elevate the work of the Information and Communications Systems (ICS) division. The The CIO manages and oversees the information technology (IT) strategy, policies, and operations within operational, and administrative oversight of the Information and Communication Systems (ICS) Division. The security and integrity of the university's IT systems, data, and networks. Overseeing the implementation and
5 years of experience required as an SAP Data Quality Analyst. Must have a valid driver's license and criminal record. Reference: SAP Data Quality (TB) Perform data quality assessments to identify data issues. Perform the source of data quality issues and develop solutions for remediation. Implement data cleansing and modules. Analyse SAP data using queries and tools to identify incorrect data, duplicate data, and errors. Perform Perform data extraction from different SAP modules. Plan and execute on data remediation activities. Work
We require a Data Engineer and this is an office based postion. Modifying the database structure, as as necessary, from information given by application developers. Enrolling users and maintaining system performance of the database. Maintaining archived data. Contacting database vendor for technical support policies, and procedures for data management. Define and implement alerts on data. Develop reports and ETL and procedures. Data warehousing. Will be responsible for developing ETL packages and data warehousing,
An amazing opportunity for a Senior Data Engineer to join a multinational organization that produces work with feature teams to design and implement data extraction, cleaning, analysis, visualization, and database types to target data containers for the purpose of migrating data to cloud technologies If you Assist in creating data pipelines from source to target platforms. Experience in Data validation and verification to transform data from source to target for analytical purposes (Business Objects/Data Lakes) and migration
Our client requires the services of a Data Engineer/Scientist ( Expert) - Midrand/Menlyn/Rosslyn/Home 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 line with the information classification requirements on a need-to-know basis. NB: By applying for Boto3 ETL Docker Linux / Unix Big Data Powershell / Bash GROUP Cloud Data Hub (CDH) GROUP CDEC Blueprint
some Python and AWS data engineering experience, as everything will be related to data ingestion, storage