Responsibilities Leverage Azure Data Factory to orchestrate and automate data workflows, ensuring seamless perform complex data analytics, employing both Azure and Python notebooks for scalable data processing. PowerBI PowerBI - Transform raw data into compelling visual stories with Power BI, providing actionable insights Python Programmer: Use Python within Azure to manage data, automate tasks, and build machine learning models models. Apply rigorous security measures to protect data within Azure, using tools and practices that prevent
We are looking for an experienced Data Engineer / BI Developer who is proficient in Microsoft SQL and technical ones. Report curation and data modelling. Participation in data warehouse design. Design, develop maintain ETL processes. Ensure data quality and integrity across the data warehouse and BI solutions. Optimize Monitor and troubleshoot ETL jobs to ensure timely data load and accuracy. Creating technical documentation relevant work experience. You have 5-8 years hands-on Data Engineering / BI development experience You are
Description Job title: Data Migration Specialist Are you ready to take your career to the next level for property management, is looking for a dynamic Data Migration Officer to join their team as soon as ease of use. Why This Role is Perfect for You: As a Data Migration Officer, you'll play a pivotal role in migration process for clients, ensuring their financial data is uploaded accurately and on time. This is your manage detailed migration plans with clients. Oversee data migrations with the take-on teams. Report on migration
genius with a love for Data and who is passionate to achieve better things for Data . If you are looking chance to leverage your skills in a Big Data and high volumes of Data that needs to be scalable. Everything that is passionate to achieve better things for Data. This is what you need to land an interview: You
Your Potential: BI Data Analyst & Data Scientist Wanted in Cape Town Attention Data Wizards, Ready to the heart of data-driven innovation? A leading BPO powerhouse is seeking a passionate BI Data Analyst and and Data Scientist to join their dynamic crew in the vibrant city of Cape Town. Qualifications: Forge or a related field. Requirements: Navigate the data seas with a minimum of 3 years of experience in role. Command your ship with expert knowledge of data analysis and visualization tools like SQL, R, Python
ensure validated design solutions, capturing insights and testing data, packaged for distribution and feedback of the process in conducting user research and capturing user insights using qualitative and quantitative
transformation and provide group-wide digital and data architecture. We operate the various technology processes Facilitate Risk Acceptance process – capture, quality assurance and approval process Facilitating
BI interfaces. We want you to manage our clients data retrieval and analysis within their company, by by providing them with clean and comprehensible data to the end-user that can be efficiently used to create successful incumbent will build a bridge between data and the people who need to query it, but who lack environment. Hands-on experience with T-SQL, SSIS, Data Warehousing, SSAS and Power BI 5 years of experience Design, develop and maintain ETL process using SSIS. Data warehouse design, maintenance and re-architecture
provides a good user experience and uses efficient data transfer between front-end, service layer and back-end accessibility and privacy. • Analysis: o Analyze data to determine, recommend, and plan installation of system design or maintenance; o Obtain and evaluate data on factors such as reporting formats required, costs with Analysis Services o Experience with SQL SERVER Data tools o Experience with modular DB's would be advantageous Principles, object inheritance. o Good understanding of Data Structures and Design patterns • Experience building
hunt for a Senior Data Engineer to join their dynamic team within the Digital and Data division. This team's team's primary focus is to build and establish the data platform capability by applying industry knowledge Engineering 5 years of data engineering experience 5 years of experience with any data warehouse technical (2) ETL Frameworks, (3) Data conformance, (4) Caching, (5) Spark (6) AWS data builds The candidate having