talented Data Engineer with a proven track record of designing and implementing robust data architectures
transforming raw data into valuable insights and possess the skills to create scalable and efficient data pipelines
/>Proven experience as a Data Engineer, specifically with a focus on building data infrastructure from scratch
In-depth knowledge of data modeling, ETL processes, and data warehousing concepts
Solid
Are you passionate about transforming raw data into actionable insights? Do you have a knack for creating
opportunity for you!
We are seeking a talented Data Analyst with a flair for visualization to join our
collaborate with cross-functional teams to drive data-driven decisions.
Key Responsibilities:
Utilize cutting-edge visualization tools to present data in a clear and impactful manner.
Collaborate
updated on industry trends and best practices in data analysis and visualization.
Qualifications:
exciting phase. Ideal candidate is someone with a data analyst or business analyst background within stockbroking investments and is passionate about automation, data analytics and digitisation.
Respo
new solutions
to employ a dynamic Data Project Manager who will be responsible for leading data-centric projects, ensuring ideal candidate will have a strong background in data management, Agile methodologies, and project management collaboratively across various teams, and a passion for data-driven decision making. This is a hybrid role based you’ll do:
We are currently seeking to appoint experienced Data Scientists who are based in Cape Town, Bellville explore, examine, integrate and scrub data from multiple disparate data sources required to answer complex Analysts / Data Scientists / Use Case Owners in the business o Work closely with the Data Analyst(s) with retail industry and Business Intelligence and data trends that will have business strategy implications statistics, mathematics, operational research, economics, data engineering, risk management (honours or masters
Nigel Frank International Data Engineer Are you a talented and passionate Data Engineer with a strong background international clients. Their team comprises some of the best data engineers in South Africa, and they pride themselves clients. Role and Responsibilities: As a Senior Data Engineer, you will be an integral part of the team to the design, development, and implementation of data pipelines and systems. Your responsibilities will design scalable and efficient data solutions. Building and maintaining data pipelines and workflows on various
We are currently seeking to appoint experienced Data Scientists who are based in Cape Town, Bellville explore, examine, integrate and scrub data from multiple disparate data sources required to answer complex Analysts / Data Scientists / Use Case Owners in the business o Work closely with the Data Analyst(s) with retail industry and Business Intelligence and data trends that will have business strategy implications statistics, mathematics, operational research, economics, data engineering, risk management (honours or masters
Industry experience.
passionate BI Data Analyst and Data Scientist to join their dynamic team in Cape Town. BI Data Analyst & & Data Scientist Cape Town Qualifications: Bachelor's Degree in Mathematics, Statistics, Computer in a similar role. Strong knowledge of data analysis and data visualization tools such as SQL, R, Python such as internal data, public records, and third-party data providers. Formulate data collection and processing using SQL. Validate the accuracy and integrity of data throughout the gathering, storage, and reporting
Reference: CTI003663-CAF-1 You know you're a data engineer when your nightmares involve NULL values chasing talented Data Engineer with a proven track record of designing and implementing robust data architectures transforming raw data into valuable insights and possess the skills to create scalable and efficient data pipelines Proven experience as a Data Engineer, specifically with a focus on building data infrastructure from scratch or Scala In-depth knowledge of data modeling, ETL processes, and data warehousing concepts Solid understanding