some Python and AWS data engineering experience, as everything will be related to data ingestion, storage
perform data quality checks in a methodical manner to understand how to accurately utilize client data. Expert challenges of advanced data manipulation, complicated programming logic, and large data volumes is required Provides solutions for data driven applications involving large and complex data and providing reconciliation from source to end reporting data marts. Design Conceptual and physical data model for a global Datawarehouse practices/standards. Build monitoring and testing mechanisms on data transformations Continuous improvements on AWS in
Our client is seeking a vibrant Data Analyst 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
We're accepting applications for Senior Data Analyst. This role will require working closely with stakeholders
business units, that contribute to the monetisation of data through the development and delivery of advanced principles that find hidden patterns and associations in data used to influence business strategy, inform channel
2. Utilise AWS services and API Gateway to build scalable and efficient data pipelines.
3. Collaborate with cross-functional Qualifications:
Job Title: AWS Data Engineers Required - Project Based - Contractual-to start asap-JHB - Hybrid Location: develop, and implement AWS cloud solutions for data engineering projects. 2. Utilise AWS services such and API Gateway to build scalable and efficient data pipelines. 3. Collaborate with cross-functional Required Qualifications: Proven experience as an AWS Data Engineer or similar role Strong understanding of scheduling and identifying data/job dependencies. Knowledge / Experience with data engineering using AWS platform
the lineage and data flow design aspects of the program. This includes creating data flow diagrams (DFDs) (DFDs), defining data models, ensuring data lineage, and implementing data governance policies on AWS software development with a focus on data lineage, data modeling, and data flow design. Proven experience with particularly in the context of data management and governance. Strong understanding of data governance principles practices. Proficiency in creating data flow diagrams (DFDs) and data models.
Chain Management (SCM) to lead the extraction of data from our existing Oracle system for handover to understanding the data requirements of the new SAP ERP system, extracting relevant SCM data from the Oracle ensuring the integrity and accuracy of the data transfer . Data Analysis and Requirements Gathering: Collaborate understand data requirements and mapping for SCM modules. Analyse existing Oracle SCM data structures and relationships to identify relevant data for extraction . Data Extraction and Transformation: Develop
as an AWS Data Engineer (Expert) and leverage your skills in building and maintaining Big Data Pipelines expertise in Python, SQL, and AWS services to drive our data initiatives forward. Be part of a collaborative where your contributions ensure accurate and secure data management. ESSENTIAL SKILLS REQUIREMENTS: - Technical ETL - Docker - Linux / Unix - Big Data - Powershell / Bash - Cloud Data Hub (CDH) - CDEC Blueprint - Any ADVANTAGEOUS SKILLS REQUIREMENTS: - Expertise in data modelling with Oracle SQL. - Exceptional analytical