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 Computer Science, Data Engineering or a comparable field of study with a focus on data intensive applications Experience in architecting and implementing scalable data pipelines in cloud environments, preferably Azure Azure. ESSENTIAL SKILLS: Programming skills in data related programming languages and frameworks, such as
enabling economies to thrive are in the market for a Data Scientist with a specialist skill set. The main is to create and facilitate appropriate access to data for key stakeholders and creating visibility for company's operations. Creating logic links between data from various systems to facilitate cross system business processes. Design and implement automated data comparisons to trigger certain processes. Simplifying
in the banking industry is looking for a Head - Data Analysis to join their organisation. Job Purpose
business-led data and business intelligence consultancy that empowers organisations with data-driven decision-making environments. Our expert teams apply a mastery of data and technology to craft strategies that revolutionise role As a Data Engineer you will utilize your knowledge of Integrations, Automations, Data Management Management, Data Modeling. You will collaborate with the Business Intelligence team, Product Development teams teams, Cloud Operations teams, and the Data Engineering team to curate a high-quality dataset to serve your
: A Master data lead What will you do: As a key member of the project team, the Master data lead is responsible responsible for the management and maintenance of master data according to business policies and rules, supporting WSNP,) ensuring the quality and integrity of the data, guaranteeing that it is accurate, complete and planning. Fix the basics: Owner to ensure master data for all relevant modules are checked and corrected parameters etc. Understand and document all data requirements and data sources for all modules in scope for
role
Are you ready to drive data-driven decision-making to new heights? We're seeking a strategic thinker powerhouse to lead our data analytics team in harnessing the potential of data to shape business strategies COMPANY realizes the business benefits of improved data analytics through the development and management gain insights from complex datasets, supporting data-driven decision-making efforts.
- Contribute interpret, and present financial, client, and other data.
- Consolidate, analyze, interpret, and provide
Investigate data quality issues with the wider team and suggest solutions. • Communicate complex data insights teams to develop data-driven solutions and strategies. • Develop and implement data validation checks checks to ensure accuracy and completeness of data. • Competencies • Strong problem-solving skills with the ability to translate abstract business problems into data queries. • Honours degree in Mathematical Statistics be considered. • Min 4 - 6 years of experience in data analysis or a related field. • Strong proficiency
We require a Data Engineer and this is an office based postion. Modifying the database structure, as 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, International Data engineering Qualifications or certifications. Minimum of 5 years' experience as a Data Engineer
highly skilled and experienced Data Architect to join our team. As a Data Architect, you will be responsible responsible for designing, developing, and implementing data solutions that meet our organization's needs. You stakeholders to understand requirements, design data models, and ensure data integrity, security, and availability translate them into data architecture solutions. Design and develop scalable and efficient data models for relational non-relational databases. Define data standards, guidelines, and best practices to ensure data quality and consistency