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Data engineering Lead (Databricks). Lead ETL Developer (Databricks).

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national orig

The impact you will have:Meet with CIOs, IT executives, LOB executives, Program Managers, and other important partnersClose both new accounts and existing accountsIdentify and close quick, small wins while managing longer, complex sales cyclesExceed activity, pipeline, and revenue targetsTrack all c

The impact you will have:Meet with CIOs, IT executives, LOB executives, Program Managers, and other important partnersClose both new accounts and existing accountsIdentify and close quick, small wins while managing longer, complex sales cyclesExceed activity, pipeline, and revenue targetsTrack all c

Bien que vous travailliez avec une équipe qui comprend des ressources pratiques qui construiront des preuves de concept et démontreront les produits de Databricks, vous devez avoir une bonne connaissance technique et comprendre la pertinence et l'application du ML et de l’IA dans une gamme de ca

You align technical strategies around Databricks solutions. Nice to have: Databricks, Snowflake, AWS or Azure Certification. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks' products, you need to be technical and must understand

As a Solutions Architect at Databricks within the Field Engineering org you will partner with our customers to design scalable data architectures using Databricks technology and services. Capture the technical win by consulting on big data architectures, data engineering pipelines, and data science/

Environnement : Databricks, Data Lake, Power BI, Azure DevOps, Azure Data Factory, SQL. En utilisant vos compétences en Databricks, Python, SQL, Power BI avec d'autres solutions d‘ Azure, vous serez amené à collecter, nettoyer et traiter, analyser, interpréter et présenter des résultats cruc

Databricks qui fait partie de la plateforme analytique Horizon qui est sur AWS;. Avoir une bonne connaissance sur plusieurs des technologies/outils suivants (rating relatif): AWS cloud and services; Databricks; Python; Terraform; Data architecture and engineering; SAS; Compréhension rapide de codes