An amazing opportunity for a Senior Data Engineer to join a multinational organization that produces work with feature teams to design and implement data extraction, cleaning, analysis, visualization, and database types to target data containers for the purpose of migrating data to cloud technologies If you Assist in creating data pipelines from source to target platforms. Experience in Data validation and verification to transform data from source to target for analytical purposes (Business Objects/Data Lakes) and migration
SAP, JAVA, Azure, Cloud is looking for an Azure Data Engineer . The unique positioning gives a deep insight processes within the group and offer internal clients an extended warranty due to their vested interests maintaining Big Data Pipelines using Data Platforms Custodians of data and must ensure that data is shared shared in line with the information classification requirements on a need-to-know basis Experience using programming programming skills in data related programming languages and frameworks, such as Python, Spark, SQL, Kusto
applications, with a primary focus on helping enterprise clients to extract business value by implementing AI solutions views and triggers for efficient data processing and generate financial data required for revenue services financial authority. Responsibilities: Manage end to end data solutions through Microsoft BI Stack Create and and optimise advanced SQL queries for efficient data retrieval, manipulation and reporting. Liaise with Experience: Bachelor's Degree in Computer Science, Information Technology or a related field. Microsoft Certifications
broadcast companies is on the lookout for a Senior Data Engineer to join their team. The chosen candidate with an ability to synthesize large amounts of information efficiently Technical Competencies: Solid understanding Solid understanding of Golden Gate Plug-ins (Big Data / Kafka), GG Directors and Cloud Console Cloud Services Infrastructure, Linux / Solaris / Windows Operating System Reference Number for this position is GZ56322 which is a
An AWS Data Engineer with -12 years hands-on data engineering experience is required to join a team of Oracle/PostgreSQL Py Spark Boto3 ETL Docker Linux / Unix Big Data PowerShell / Bash Glue CloudWatch SNS Athena S3 Business Intelligence (BI) Experience Technical data modelling and schema design (“not drag and drop”) drop”) Kafka AWS certified developer / architect Reference Number for this position is GZ54544 which is a
Git Maven or Jenkins Architecture Interface Design Data modeling Database technologies Implementation of Terrafrom Ansible Concourse Jenkins Interested? Reference Number for this position is GZ49285 which is a
equivalent 5 years of experience in the DevOps space Big Data platforms (Vanilla Hadoop, Cloudera or Hortonworks) programmatic experience and terminology is required Reference Number for this position is GZ57789 which is a
General AWS experience in the DataScience / big data context. Docker, & Kubernetes Experience, Expert database skills. Kibana, Prometheus & Grafana Reference Number for this position is GZ55417 which is a
opportunity to join our international manufacturing client with head offices based in the Midrand. You will methodology Atlassian tools: Jira, Confluence Reference Number for this position is GZ55413 which is a
processes and the ability to offer our internal clients an extended warranty due to our vested interest highest availability of critical applications. Reference Number for this position is GZ58966 which is a