UX/UI Designer, Mobile-First Products
enovetic ag
Design mobile-first pension and retirement products at enovetic, shaping consistent digital experiences with Business, Product, and Engineering teams.
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Niji एक फ्रांसीसी डिजिटल परिवर्तन परामर्श कंपनी है, जो उद्यमों और सार्वजनिक क्षेत्र के संगठनों को रणनीतिक विचारों को व्यावहारिक उत्पादों, सेवाओं और संचालन क्षमताओं में बदलने में सहायता करती है। 2001 में स्थापना के बाद से, कंपनी ने डिजिटल रणनीति, सेवा डिज़ाइन, डेटा और कृत्रिम बुद्धिमत्ता, प्रौद्योगिकी इंजीनियरिंग, साइबर सुरक्षा और सॉफ्टवेयर डिलीवरी को एक साथ जोड़ा है।
इसका कार्य उत्पाद और सेवा नवाचार, व्यवसाय मॉडल, ग्राहक और उपयोगकर्ता संबंध, संगठनात्मक परिवर्तन, प्रक्रिया सुधार और औद्योगिक उपकरणों तक फैला हुआ है। Niji जटिल प्रौद्योगिकी एकीकरण में भी सहायता करती है, जिसमें Salesforce से संबंधित परियोजनाएँ शामिल हैं। 1,400 से अधिक लोगों की टीम के साथ, यह परामर्श कंपनी पूरे फ्रांस में स्थित कार्यालयों से काम करती है और सिंगापुर, स्पेन तथा मोरक्को में भी इसकी अंतरराष्ट्रीय मौजूदगी है।
Senior Lead Data Engineer, Databricks
Lead the design and industrialization of data platforms for analytics, machine learning, and generative AI at Niji, a digital and technology consultancy. The role combines Databricks technical leadership with mentoring engineers and advising clients.
विवरण
- Translate business challenges into practical data solutions.
- Design scalable, secure Databricks and Lakehouse architectures.
- Set technical direction, technology choices, and development standards.
- Design and oversee high-performance, production-ready data pipelines.
- Apply best practices across Spark, Delta Lake, Unity Catalog, and Databricks.
- Maintain data processing quality, performance, reliability, and governance.
- Build data platforms for analytics, machine learning, and generative AI.
- Work with Data Science and AI teams to prepare data and flows for AI models and applications.
- Move solutions from design into production using CI/CD, monitoring, and DataOps.
- Act as the technical authority on Data Engineering and Databricks.
- Guide Data Engineers in technical decisions and professional development.
- Promote good engineering practices and help set technical standards for the practice.
- Contribute to tender responses and commercial proposals.
- Assess client requirements and recommend high-value data solutions.
- Advise clients on Databricks, Lakehouse architecture, and production-grade data platforms.
आवश्यकताएँ
- University degree, engineering degree, or equivalent master’s-level qualification.
- Substantial Data Engineering experience, ideally in complex or high-volume environments.
- Five to ten years of experience, as stated in the job listing.
- Demonstrated Databricks expertise, including production use.
- Strong knowledge of Spark, Delta Lake, data modeling, and Lakehouse architectures.
- Proficiency with at least one cloud platform: Azure, AWS, or GCP.
- Strong Python and SQL skills.
- Experience with production practices such as CI/CD, orchestration, monitoring, and DataOps.
- Understanding of data governance, quality, security, and performance optimization.
- Ability to design data platforms for analytics, machine learning, or generative AI.
- Ability to assess technical choices and support a team.
- Ability to provide technical leadership to teams and clients.
- Databricks certification is an advantage.
लाभ
- Professional development through Niji University, with more than 33,000 learning resources and practical experience.
- Access to current AI tools for teams and specialists.
- Individual support through regular one-to-one meetings, a dedicated HR Business Partner, and a skills framework.
- Flexible working hours.
- Remote work.
- Meal vouchers.
- Mobility allowance.
- Access to a services platform.
- Responsible business commitments and a strong CSR policy.
- Impactful projects for major companies and mid-sized businesses.
- Multidisciplinary teams across Consulting, Design, Data, AI, Cybersecurity, and Technology.
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