We are looking for someone who could join the client's team - Data Analytics Platform and be a part of enterprise-scale Data Analytics Platforms such as Dataiku, Denodo, Talend, and Anaconda.
Role:
- Work with stakeholders, including customers, partners and colleagues on system level technical issues for Data Analytics Platform e.g. Dataiku, Denodo, Talend, Anaconda;
- Perform software installation on-premises and on cloud infrastructure;
- Perform software configuration e.g. user authorization, LDAP authentication, SSO etc.;
- Perform ad-hoc, monthly, quarterly, and yearly patching for software and operating systems;
- Document, manage and maintain data models, ETL pipelines, data warehouse, data management solutions for the large volume of structured/unstructured data from disparate sources and with different latencies (e.g. on-demand, batch, real-time, near-real-time);
- Monitor and report SLAs for system engineering-related service requests;
- Ensure compliance to data security and governance standards stipulated by customers;
Academic Qualifications:
Technical expertise in:
- Installation and maintenance of Relational/Non-relational/NoSQL database and enterprise data warehouse;
- Proficiency in the installation and configuration of Dataiku, Denodo, Talend, Anaconda, and Kubernetes will be advantageous.
- Proficiency in the installation and configuration of CI/CD tools, e.g., GitLab, JFrog, Nexus Repository, will be advantageous.
- Familiar with an enterprise Kubernetes platform e.g., Red Hat OpenShift, will be advantageous;
- Familiar with big data technologies, e.g., Hadoop, Spark, Hive, HBase etc.;
- Familiar with open-source data ingestion technologies, e.g., Flume, Kafka, NiF; and
- Scripting, programming, and software development using e.g. Java, Python, SQL, etc. for system automation in Windows or Red Hat Linux environments.
- Experience in designing, documenting, implementing, and supporting data management and analytics solutions;
- Knowledge of CI/CD processes for machine learning, computer vision, and large language models will be advantageous.
