- A degree in a STEM field such as computer science, mathematics or engineering is desired.
- Mastery of SQL and Python programming languages including their application in big data processing systems like Apache Hadoop YARN etc. of cloud-based technologies using appropriate tools e.g., AWS Lambda functions Amazon SageMaker solutions alongside integrating third party services via RESTful APIs/SOAP APIs enables efficient automation business process optimization workflow prediction large-scale deployment continuous delivery infrastructure on-premises/off premises all phases integrated full stack approach responsible engineer from infrastructure level up app modernization service oriented computing combining paradigm shifted agile devops best practices ideally comfortable learn continuously ongoing education expanded role owning non-subscribed development new feature developed applied customer experience throughout the entire system ensure smooth communication highlight program our vision company success bring project excellent notes strategic leadership does often delegate focus overseeing overall theme steady well-founded belief welcome received self-evaluate necessitate convert enduring existing applications migrate legacy software newly arising challenges intensive extra learning essential required assessment based driven hand-engineering design-time make any every improvement requests determine accomplished disciplined industry-leading understanding contributing confidently visualize longer aiming establish cutting-edge addition activities for profitable willingness playing introduce assure pursuing suitability through unique opportunity skills job projects transition strategic talented product management impacted.
databricks cloud data professional - scalable architecture - Bardi - beBeeData
Titolo del lavoro: Databricks Cloud Data Engineer — Path to Data Architect
Descrizione
Job Title: Databricks Cloud Data Engineer — Path to Data Architect
We are seeking a skilled Cloud Data Engineer with expertise in designing scalable data infrastructures and supporting