{"id":1524,"date":"2026-07-29T11:05:09","date_gmt":"2026-07-29T09:05:09","guid":{"rendered":"https:\/\/www.talentspotter.ro\/?post_type=jobs&#038;p=1524"},"modified":"2026-07-29T11:05:12","modified_gmt":"2026-07-29T09:05:12","slug":"senior-databricks-developer","status":"publish","type":"jobs","link":"https:\/\/www.talentspotter.ro\/ro\/job-finder\/senior-databricks-developer\/","title":{"rendered":"Senior Databricks Developer"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\">Sumar rol<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">C\u0103ut\u0103m un <strong>Senior Databricks Developer<\/strong> cu experien\u021b\u0103 solid\u0103 \u00een dezvoltarea \u0219i operarea solu\u021biilor de date pe <strong>Azure Databricks<\/strong>. Rolul implic\u0103 dezvoltarea de pipeline-uri end-to-end, optimizarea proceselor PySpark \u0219i SQL \u0219i contribu\u021bia la evolu\u021bia arhitecturii Data Lakehouse.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Tip colaborare:<\/strong> B2B<br><strong>Mod de lucru:<\/strong> hibrid, 2 zile pe s\u0103pt\u0103m\u00e2n\u0103 la birou<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Responsabilit\u0103\u021bi<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Dezvoltarea \u0219i mentenan\u021ba pipeline-urilor ETL\/ELT \u00een Azure Databricks \u0219i PySpark.<\/li>\n\n\n\n<li>Integrarea datelor din Oracle, SQL Server, API-uri, fi\u0219iere \u0219i alte sisteme.<\/li>\n\n\n\n<li>Implementarea solu\u021biilor Delta Lake, CDC, historizare \u0219i Data Quality.<\/li>\n\n\n\n<li>Modelarea datelor pentru raportare \u0219i analiz\u0103.<\/li>\n\n\n\n<li>Monitorizarea fluxurilor \u0219i remedierea incidentelor de produc\u021bie.<\/li>\n\n\n\n<li>Optimizarea performan\u021bei \u0219i costurilor \u00een Databricks.<\/li>\n\n\n\n<li>Contribu\u021bia la arhitectura Data Lakehouse \u0219i la standardele tehnice ale echipei.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Cerin\u021be<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Minimum 5 ani de experien\u021b\u0103 \u00een Data Warehouse, Big Data sau platforme enterprise de date.<\/li>\n\n\n\n<li>Minimum 2\u20133 ani de experien\u021b\u0103 practic\u0103 \u00een Databricks.<\/li>\n\n\n\n<li>Experien\u021b\u0103 solid\u0103 cu Azure Databricks, PySpark, SQL \u0219i Delta Lake.<\/li>\n\n\n\n<li>Experien\u021b\u0103 \u00een dezvoltarea pipeline-urilor de date end-to-end.<\/li>\n\n\n\n<li>Cuno\u0219tin\u021be de ETL\/ELT, Data Modelling, Data Quality \u0219i Pipeline Orchestration.<\/li>\n\n\n\n<li>Experien\u021b\u0103 cu Git \u0219i Jira.<\/li>\n\n\n\n<li>Capacitatea de a lucra autonom \u0219i de a prelua ownership asupra livr\u0103rilor tehnice.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Reprezint\u0103 avantaj<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Azure Data Factory<\/li>\n\n\n\n<li>Kafka \u0219i Event Streaming<\/li>\n\n\n\n<li>CI\/CD<\/li>\n\n\n\n<li>Unity Catalog \u0219i Data Governance<\/li>\n\n\n\n<li>Machine Learning pe Databricks<\/li>\n\n\n\n<li>Qlik Sense<\/li>\n\n\n\n<li>Experien\u021b\u0103 \u00een domeniul bancar<\/li>\n<\/ul>\n","protected":false},"template":"","company":[],"class_list":["post-1524","jobs","type-jobs","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.talentspotter.ro\/ro\/wp-json\/wp\/v2\/jobs\/1524","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.talentspotter.ro\/ro\/wp-json\/wp\/v2\/jobs"}],"about":[{"href":"https:\/\/www.talentspotter.ro\/ro\/wp-json\/wp\/v2\/types\/jobs"}],"wp:attachment":[{"href":"https:\/\/www.talentspotter.ro\/ro\/wp-json\/wp\/v2\/media?parent=1524"}],"wp:term":[{"taxonomy":"company","embeddable":true,"href":"https:\/\/www.talentspotter.ro\/ro\/wp-json\/wp\/v2\/company?post=1524"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}