their wing is currently scouting for a Senior Data Engineer. You will be responsible for developing high quality like Information Systems, Big Data Azure Data Engineer Certification would be advantageous Related Technical methodology, Software Development Life Cycle (SDLC) processes and cloud computing Reference Number for this
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The unique positioning as a Developer DevOps Engineer to company ensure collaborative partnerships internally insight into the compliance and IT Methodology processes and the ability to offer our internal clients Python Relevant IT Degree 2 Plus years in DevOps Engineering Experience with at least 7 years in IT Industry Build tools to reduce occurrences of errors and improve Developer and customer experience Develop scripts/monitoring visualise important metrics about development processes Develop scripts/monitoring to analyse and visualise
Africa broadly are in the market for a Junior Data Engineer . The ideal candidate will have a strong analytical role with a huge focus on building Python, ETL processes and writing superb SQL . In addition, the candidate Use agile software development processes to make iterative improvements to the back-end systems Model streamline data science and analytics workflows by improving data delivery and quality to internal and external in computer science, information technology, engineering, or related analytical discipline required. Three
Senior Data Engineer to deliver digital solutions If you are a passionate data engineer with experience solutions to support business needs Implement ETL processes using tools such as AWS Glue, Azure Data Factory and technologies, particularly in cloud data engineering. Troubleshoot and resolve data-related issues
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solutions are currently looking for an AWS Data Engineer to join their fast-paced and dynamic team Responsibilities Scala, Kafka CC. Design and implement data engineering, ingestion and curation functions on AWS cloud Workflows, Kafka CC, Delta.io Knowledge of software engineering best practices across the development lifecycle
for a skilled and hardworking Hardware/Software Engineer. Their innovative solutions are meticulously crafted hardware interactions. Collaborate with hardware engineers to integrate software components into embedded
data insights into practical actions resulting in improved results Data Visualization Modify rule-based scorecards train and maintain models Data cleaning and pre-processing (Size, data distribution, imputation, removing removing outliers, etc) Ability to do feature engineering towards specific predictable targets (Not just including Qualifications & Experience: A degree in either engineering, data science, statistics, computer science, experience in software and software engineering, financial services data processes, technical business intelligence
data insights into practical actions resulting in improved results Data Visualization Change management mind-set regression, random forest, etc) Data cleaning and pre-processing (Size, data distribution, imputation, removing removing outliers, etc) Ability to do feature engineering towards specific predictable targets (Not just including Bachelor's Degree/Hons in Computer science/Math/engineering/Accounting 3-5 years' experience as a data scientist/data Specialisation in T-SQL Experience in automation of processes an advantage 3 years' operating at a manager level