enterprises as well as dynamic start-ups is looking for a Data Engineer to join an environment of like-minded engineers 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
mining client is currently seeking the services of a Data/Technical analyst to join their team for a project 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 extraction, capture and analysis skills Excellent presentation, communication skills and reporting skills Ability
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
business users and business unit managers from time to time as required Demonstrate a culture of individual
international 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
Requirements: Sound knowledge in Python and Java Data Science concepts and principles Experience in tools Interface Design. Data modeling and Database technologies (relational, document, graph, time series, geolocation)
The Data Analyst is responsible for overseeing our data systems and reporting frameworks, guaranteeing integrity and precision of data. The ideal candidate will transform raw data into structured information gathering, activity execution, and design planning. Data analysts are tasked with enhancing analytical and enhancement Gather data from primary and secondary sources, ensuring the upkeep of databases and data systems Detect trends or patterns within intricate datasets Cleanse data and scrutinize computer-generated reports and outputs
person has experience in running projects that are data related at the enterprise level and also have experience
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 Ab-initio exposure would be advantageous Markets Data Analytics project lifecycle The Capital Markets experience in designing and building data warehouses, BI systems and complex data eco systems Engaging with business
within a consultancy known for leading a world class data analytics/warehouse capability and specialising vacancy for a Senior Data Engineer to deliver digital solutions If you are a passionate data engineer with experience experience in data warehousing, data lakes, cloud technologies , and ETL tools , we encourage you to Responsibilities: Design and develop data warehousing and data lake solutions to support business needs as AWS Glue, Azure Data Factory, Matillion, SSIS Collaborate with data analysts, data scientists, and business