DATA SUPPORT SERVICES ENGINEER ELK SPLUNK
101 Careers
Umhlanga, KwaZulu Natal, za
6d ago
source : Ecadoo

Introduction A reputable company based in Umhlanga is seeking the perfect candidate to fill a Data Support Services Engineer ELK Splunk role Duties Responsibilities Create and maintain optimal data pipeline architecture Assemble large complex data sets that meet functional non functional business requirements Identify design and implement internal process improvements automating manual processes optimizing data delivery re designing infrastructure for greater scalability etc Build the infrastructure required for optimal extraction transformation and loading of data from a wide variety of data sources using SQL and big data technologies Work with stakeholders including the Executive Product Data and Design teams to assist with data related technical issues and support their data infrastructure needs Keep the company s data separated and secure across national boundaries through multiple data centres Create data tools for analytics and data scientist team members that assist them in building and optimizing the company s product into an innovative industry leader Work with data and analytics experts to strive for greater functionality in the company s data systems Desired Experience Qualification Advanced working SQL knowledge Experience building and optimizing big data data pipelines architectures and data sets Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement Build processes supporting data transformation data structures metadata dependency and workload management A successful history of manipulating processing and extracting value from large disconnected datasets Working knowledge of message queuing stream processing and highly scalable big data data stores Strong project management and organizational skills Experience supporting and working with cross functional teams in a dynamic environment The company is looking for a candidate with 5 years of experience in a Data Engineer role who has attained a Graduate degree in Computer Science Statistics Informatics Information Systems or another quantitative field They should also have experience using the following software tools Experience with both Windows and Linux operating systems Experience with big data tools Kafka RabbitMQ Splunk ELK Stack etc Experience with scripting and orchestration tools and products Python Ruby Bash Kubernetes Ansible Morpheus Experience with relational SQL and NoSQL databases including SQL Server Couchbase Postgres Redis and MongoDB and MS Azure Package Remuneration Benefits to be discussed

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