RevoData
RevoData
RevoData नीदरलैंड स्थित डेटा और एआई परामर्श कंपनी है, जो विशेष रूप से Databricks पर केंद्रित है। इसकी परामर्श टीम प्रबंधित Databricks सेवाओं, आर्किटेक्चर समीक्षा, प्रशिक्षण, एआई इंजीनियरिंग, जियोस्पेशियल परामर्श, डेटा माइग्रेशन और प्रक्रियाओं के अनुकूलन के माध्यम से उद्यमों को मॉड्यूलर और उत्पादन के लिए तैयार डेटा तथा एआई प्लेटफ़ॉर्म बनाने और संचालित करने में सहायता करती है। Databricks गोल्ड पार्टनर के रूप में, Databricks चैंपियंस और पूरी तरह से Databricks-प्रमाणित टीम के साथ, RevoData जटिल उद्यम डेटा परियोजनाओं के लिए प्लेटफ़ॉर्म विशेषज्ञता और व्यावहारिक कार्यान्वयन सहायता का संयोजन करती है।

Senior Principal Data Engineer - Databricks, Remote Czechia

Senior Data Engineer leading scalable Databricks platforms for RevoData, a European data and AI consultancy. The role covers architecture, pipelines, cloud solutions, governance, and client-facing technical leadership.

विवरण

  • Design and develop scalable data platforms.
  • Own architectural decisions and platform outcomes.
  • Develop Databricks platforms with Delta Lake, Unity Catalog, and governance practices.
  • Orchestrate workflows and establish effective code and deployment structures.
  • Build and maintain pipelines from data ingestion through consumption.
  • Create data solutions with Python, SQL, and cloud platforms.
  • Provide technical leadership while aligning technology choices with business needs.
  • Review colleagues’ work, share knowledge, and strengthen team capabilities.
  • Partner directly with clients to deliver practical value from data platforms.
  • Candidates new to Databricks complete a supported seven-month programme covering certifications, client projects, and internal knowledge sharing, with transition to a permanent contract after agreed milestones.

आवश्यकताएँ

  • Experience leading or significantly contributing to data platforms from initial concept through delivery.
  • A strong record of owning outcomes and making architectural decisions.
  • Deep knowledge of Databricks, including Delta Lake, Unity Catalog, governance, Workflows, code organization, and deployments.
  • Professional experience with Python and SQL.
  • Knowledge of data modelling and data pipeline development.
  • Experience with Azure, AWS, or Google Cloud Platform.
  • Experience building ETL or ELT pipelines and cloud-based data solutions.
  • Ability to define an approach, architecture, and initial steps from broad or unclear objectives.
  • Pragmatic judgment balanced with a commitment to quality.
  • Ability to develop colleagues through reviews, feedback, and technical discussion.
  • Ability to influence technical and business decisions and communicate trade-offs clearly.
  • Databricks certifications are advantageous.
  • Databricks Champion status is advantageous.

लाभ

  • Employment in Czechia arranged through a third-party Employer of Record and payroll provider in accordance with Czech employment requirements.
  • Access to Databricks learning materials, certification programmes, and partner academies.
  • Regular internal knowledge-sharing sessions and workshops.
  • Hands-on opportunities with Databricks and modern data and AI technologies.
  • Flexible, collaborative working environment.
  • Remote and hybrid work options.
  • International team distributed across Europe.
  • Development opportunities in technical expertise, consulting, and technical leadership.
  • Regular team activities.
  • Sustainable working practices and a wellbeing-focused environment.

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