chief data architect

Expert Data Engineer Required

We are seeking an experienced Data Engineer to lead our data engineering projects.

The ideal candidate will have strong expertise in Azure Data Factory and Databricks, with a proven track record of delivering large-scale data engineering solutions.

- Azure Data Factory: Strong understanding of its capabilities and best practices for building scalable data pipelines.

The selected individual will work closely with cross-functional teams to design, develop, test deploy and maintain high-quality data platforms ensuring reliability scalability security performance robustness usability configuration management monitoring backup recovery disaster recovery compliance regulatory adherence reporting analytics business intelligence dashboards visualization modeling prediction forecasting optimization machine learning natural language processing computer vision recommendation systems deep learning reinforcement learning transfer learning few-shot learning knowledge distillation model interpretability explainability fairness transparency accountability reproducibility repeatability ethics bias regulation governance privacy security cryptography access control authentication authorization encryption decryption decryption secure communication multi-party computation zero-knowledge proofs homomorphic encryption functional programming distributed computing cloud infrastructure containerization orchestration service mesh APIs microservices continuous delivery integration deployment testing quality assurance code reviews documentation guides tutorials webinars training certification e-learning courses MOOCs online degrees programs bootcamps hackathons workshops meetups conferences summits seminars symposia congresses colloquia panel discussions roundtables keynote addresses Q&A sessions fireside chats product demos pitches roadmaps timelines Gantt charts Kanban boards workflows Scrum agile methodologies DevOps CI/CD pipeline automation tools version control Git SVN Mercurial Perforce Subversion CVS RCS Concurrent Versions System VCS CVC change management release management build automation dependency injection inversion of control IoC containers Spring Boot Micrometer Prometheus Grafana Graphite StatSD Graphite OpenTSDB New Relic AppDynamics Dynatrace Datadog Librato Atlas Agent plugin MinIO RethinkDB MongoDB Redis MemSQL Timescale PostgreSQL open-source DBMS relational database SQL queries databases schema schema tables tables rows columns indexes indexes primary key foreign keys constraints constraint check delete alter rename drop create insert update select from where group by having having order by limit offset fetchall fetchone execute commit rollback begin commit sync async async suspend resume context context propagation thread thread pool executor executor factory lifecycle custom strategy strategies timer timer task task queue scheduled tasks message queues message broker pub-sub messaging event-driven architecture publish subscribe subscribe publisher subscriber consumer messages events events log log logging logging framework SLF4J Logback JUL JULM LOGGER LOGGERTRACE trace debug info warning error fatal critical alert emergency system system panic panic kernel kernel initialization initialization main main startup startup shutdown shutdown exit exit signals signals signal SIGINT SIGKILL SIGSEGV SIGHUP intr intr synchronize synchronize synchronized synchronized Monitor monitor monitormonitorservicehandlercheckercountdownlatch latch ReadWriteLock ReentrantReadWriteLock Externalizable writable objects object store FileStore Permanent Generation garbage collector iostream stream seek tell length size limit mark reset flush channel connected peer listener handler handler selector socket socketfactory accepted acceptor listenerserver wrappedsocket wrapper timeout reconnnect reconnect newsslsocket