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initiative aimed at pooling highly skilled Data Engineers for upcoming opportunities in Africa. By registering requirements of the data & analytics environment Analyse business or system requirements and data to enhance years in a data environment Experience with ETL processes and SDLC Database system and cloud data warehousing experience (relational databases, star schemas) Data Analysis, Design, and Architecture experience Ideally
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 over-arching topics. Should be able to Mentor junior engineers. Demonstrate solution architect expertise. Be QUALIFICATIONS/EXPERIENCE Relevant IT / Business / Engineering Degree Candidates with one or more of the certifications Boto3 ETL Docker Linux / Unix Big Data Powershell / Bash GROUP Cloud Data Hub (CDH) GROUP CDEC Blueprint
financial services have an opportunity for a Data Engineer who will take responsibility for driving, designing ETL systems for a big data warehouse to implement robust and trustworthy data to support high performing algorithms, predictive models and support real-time data visualisation requirements across the organisation Responsibilities: Systematic solution design of the ETL and data pipeline in line with business user specifications to the approved solution design Ensure data governance and data quality assurance standards are upheld
start-ups is looking for a Data Engineer to join an environment of like-minded engineers who are able to express Responsibilities: Build data warehouse components on Teradata warehouse Present data on dashboards and visualisations visualisations on Power BI Comply with all data governance, like documenting data definitions and business glossaries delivering a client project at a financial Build data systems and pipelines Evaluate business needs and and patterns Conduct complex data analysis and report on results Prepare data for prescriptive and predictive
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
space is on the lookout for a AWS Data Cloud Engineer (big Data Engineer) Knowledge /Qualifications High VPC, roles, services. Experience developing engineering applications in Corporate companies Demonstrated Master's degree in Computer Science or Software Engineering is preferred Current understanding of best practices Experience with software engineering, customer experience and civil engineering preferred Experience working perform data quality checks in a methodical manner to understand how to accurately utilize client data. Expert
of data warehousing techniques and approaches
expertise has a vacant position for an AWS Data Engineer to work within a team solving complex problems expertise in data modelling Oracle SQL Exceptional analytical skills analysing large and complex data sets Perform testing and data validation to ensure the accuracy of data transformations Building data pipeline using using AWS Glue or Data Pipeline, or similar platforms Preparing specifications from which programs will technical documentation and artefacts Working with Data Quality Tools such as Great Expectations Developing
The Data Analytics: Data Engineer role is responsible for understanding the full lifecycle of a BI Project solution to business. Continuous development of Markets Data Analytics Platform is done by enhancing current requirements. Collaborate with Business and the Markets Data Analyst to understand the requirements and BI solution Bachelor's degree in Computer Science, Mathematics, Engineering or related discipline is required Markets BI Ab-initio exposure would be advantageous Markets Data Analytics project lifecycle The Capital Markets