Data Engineering And Qa Team Lead (Data Platform Engineering Team)
Responder al anuncioData Engineering and QA Team Lead (Data Platform Engineering Team)Analyticslocation_onRemote: SpainHi there!We are Semrush, a global IT company developing our own product – a platform for digital marketers. This is ourData Engineering and QA Team Leadrole for those who want to turn ideas into reality and participate in improving Semrush’s analytics tools. Responsibilities:Leadership of the team of Data Engineers and QA Engineers to maintain and improve:Data ArchitectureCloud InfrastructureCI/CDData Pipelines / Data ModellingData QualityQA practicesMonitoring & AlertingTeam functions:Creation of Data Architecture StrategyImprovement of Incident ManagementDevelop and deploy IaaC using Terraform to ensure scalable and reliable data systemsCreate and manage CI/CD pipelines in GitLab for automated testing and deployment of data solutionsDesign, develop, and maintain data pipelines using BigQuery, Airflow & dtbMonitor and troubleshoot cloud infrastructure, data pipelines, and workflows to ensure data quality and availabilityImplement data models and optimize data storage, retrieval processes, and costsMigrate existing data infrastructure & pipelines from the legacy to contemporary solutionsDevelopment and maintenance of ML / AI ecosystem / tools / workflowsConduct Code Reviews for Merge Requests (80% SQL, 10% Python, 10% Java)Collaborate with analysts, SRE, and other engineers to understand data needs and deliver data solutionsConduct Arch Review to enable robust & flexible data architecturePropose & drive efficiency-improvement initiativesTrack and optimize costs of data infrastructureCrafting of QA Strategy for Analytics DivisionOrchestrate Testing Activities in the Analytics Division for Dashboards, Data Transformations, Data Requirements, etc. Definition & Delivery of Data Quality MetricsIntroduction of Automation TestingBiggest projects for the upcoming 6 months:Infrastructure migration between cloud regionsIntroduction of DWH 2. 0Deployment & customization of Data Catalogue & Data Lineage (could be datahub, atlas, or similar)CI/CD improvement to downstream checksIntroduction of QA StrategyAnalyticsThe Semrush Analytics team helps the Company's employees analyze past events, accurately interpret the present situation, and then predict the future. They accomplish all this only by looking at data. The Analytics team handles stats, calculations, scoring and predictive models, clustering, multi-channel attribution, anomaly analysis, and many other queries from the Marketing and Development teams. In addition, these colleagues deal with business metrics at a company level. The team members are split between offices in Europe and the US. The team’s secret passion is finding solutions to new challenges. Sounds intriguing, right? #J-18808-Ljbffr
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