Data Analytics Engineer - Cloudera / Hortonworks Hadoop

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Data Analytics Engineer - Cloudera / Hortonworks Hadoop - vacancy for a globally operating Basel based company in the financial sector.

Your experience/skills:8+ years of experience in building and supporting data platforms within the big-data engineering domain4+ years of practice with Cloudera or similar big-data platforms in an admin role including experience with on-premise big data distributions using Cloudera or HortonworksProficiency in one major programming language such as Java or Python and capability of developing Ansible modules for deploymentGood understanding of standard data engineering practices, data warehousing, SQL and ETLAwareness of Agile methodologies and ScrumKnowhow of managing ELK stack and Google Apigee is beneficialGraduate degree in computer science or another IT-related, technical fieldLanguages: English, fluent in written and spoken

Your tasks:Providing platform administration with a focus on data management and analytics projects to deliver data platforms and systems that will enable the data and analytics transformationAdministering and managing big-data platform tools such as Cloudera and ELK while supporting the infrastructure for greater scalability, high availability, security and resiliencyAutomating platform deployment by developing Infrastructure as code components ideally with AnsibleDeveloping features to support strict SLA guarantees to end users by optimising resource allocations, enhancing monitoring capabilities while focusing on multitenancy, resiliency as well as ease of support and governanceIdentifying, designing and implementing process improvements such as automating manual processes, optimising data delivery and enhancing the overall platform capabilitiesEstablishing best practices and standards regarding data modelling standards, code quality, TDD, DevOps and DataOps as well as increasing the adoption of the framework through collaborating with other teams in the companyModernising the company's data management infrastructure including building a new modern data warehouse and data lake architectureDeveloping a data transfer backbone to support event processing and streaming as well as proposing innovative data lab environments for self-service analytics and improving capabilities to support machine learning and AI use cases

Start: 11/ 2021

Duration: 05MM+

Location: Basel, Switzerland

Ref.Nr.: BH17205

Does this spark your interest? Then take the next step by sending us your CV as a Word document and a contact telephone number on which you are reachable during working hours.

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