knowmad mood
knowmad mood
knowmad mood एक बहुराष्ट्रीय डिजिटल परिवर्तन और प्रौद्योगिकी सेवा कंपनी है, जो उद्यम संगठनों को अपने संचालन, ग्राहक अनुभवों और प्रौद्योगिकी प्लेटफ़ॉर्म का आधुनिकीकरण करने में सहायता करती है। इसका कार्य डिजिटल चैनलों और वाणिज्य, UX/UI, मोबाइल, प्लेटफ़ॉर्म, डेटा और विश्लेषण, AWS सहित क्लाउड अवसंरचना, कृत्रिम बुद्धिमत्ता, ब्लॉकचेन, IoT, DevOps, गुणवत्ता आश्वासन, परीक्षण, सुरक्षा, समाधान वास्तुकला तथा Atlassian और IT शासन से संबंधित परामर्श, सॉफ़्टवेयर डिलीवरी और तकनीकी विशेषज्ञता को एक साथ लाता है। कंपनी बैंकिंग, दूरसंचार, खुदरा, स्वास्थ्य सेवा, ऊर्जा, ऑटोमोटिव और लॉजिस्टिक्स सहित उद्योगों में B2B ग्राहकों को सेवाएँ प्रदान करती है और स्केलेबल डिजिटल समाधानों तथा दीर्घकालिक प्रौद्योगिकी परिवर्तन पर ध्यान केंद्रित करती है।

Senior Data Engineer, Databricks (Remote in Spain)

Senior Data Engineer responsible for building cloud-native data platforms with Databricks, Apache Spark, and Azure. The role focuses on scalable data solutions supporting knowmad mood’s digital transformation work.

विवरण

  • Design and develop scalable cloud-based data architectures with a focus on performance, security, reliability, and cost efficiency
  • Lead data engineering best practices using Databricks, Apache Spark, and modern data platform technologies
  • Create reusable ingestion frameworks and reference patterns for integrating enterprise applications, APIs, streaming platforms, and external sources
  • Build, maintain, and optimize data pipelines, platform services, and reference implementations
  • Provide technical guidance and mentor teams on ETL/ELT processes, data engineering standards, and platform capabilities
  • Implement data governance, cataloging, and quality monitoring to maintain reliable, well-documented datasets
  • Partner with Data Architects, Data Scientists, Analysts, and business teams to turn requirements into scalable technical solutions
  • Drive continuous improvements across the data platform, development standards, and operational excellence

आवश्यकताएँ

  • More than five years of hands-on experience in Data Engineering and Big Data environments
  • Extensive experience with Databricks and Apache Spark, including PySpark
  • Experience designing and implementing data solutions on Microsoft Azure
  • Strong SQL and Python skills, including clean code and object-oriented programming principles
  • Experience with Azure Event Hubs and Kafka
  • Strong knowledge of dimensional modeling and Data Warehouse design principles
  • Experience building scalable, reliable, and maintainable cloud-native data platforms
  • Excellent communication and stakeholder management skills
  • Ability to influence and guide teams without direct responsibility for project delivery
  • Proactive, solution-oriented approach with a focus on continuous improvement
  • Advanced English proficiency
  • Experience with Databricks Lakehouse architecture, Delta Lake, Unity Catalog, Databricks Workflows, Data Governance, and DataOps is valued
  • Databricks certifications, such as Databricks Certified Data Engineer Associate or Professional, are valued

लाभ

  • Permanent employment contract
  • Remote work
  • Internal training and access to certifications
  • Flexible compensation plan including health insurance, transport, childcare vouchers, and meal vouchers
  • Employee referral program with financial rewards
  • Events, meetups, tech days, and talks
  • 26 days off: 22 vacation days, two personal days, and December 24 and 31 as default holidays
  • Flexible schedule from 8:30–18:00 Monday through Thursday and 8:00–15:00 on Fridays
  • Summer intensive schedule in July and August, from 8:00–15:00

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