Weekday (YC W21)
Weekday (YC W21)
11 – 50 कर्मचारी
SaaSएचआर टेकपरामर्श
Weekday (YC W21) मानव संसाधन प्रौद्योगिकी और SaaS क्षेत्र में भारत पर केंद्रित एक भर्ती प्लेटफ़ॉर्म है। यह कंपनियों को सक्रिय संपर्क के माध्यम से प्रतिभाओं की पहचान करने और उनसे जुड़ने में मदद करने के लिए AI-आधारित टूल और उम्मीदवारों के व्यापक डेटाबेस को एक साथ लाता है। यह प्लेटफ़ॉर्म ईमेल, WhatsApp और फ़ोन के माध्यम से संवाद की सुविधा देता है, साथ ही उम्मीदवारों को नौकरियों को आसानी से खोजने और उनके लिए आवेदन करने का सरल तरीका भी प्रदान करता है।

Senior Generative AI Engineer in India (Remote)

Build scalable Databricks data platforms, pipelines, and cloud architectures for analytics and AI applications. Deliver production data solutions for a client based in India.

विवरण

  • Design and maintain scalable data engineering and analytics solutions
  • Build dependable batch and real-time data pipelines
  • Develop Databricks-based data platforms and cloud workflows
  • Process complex datasets for analytics, reporting, and AI applications
  • Create data models and optimise workflows for scale and performance
  • Connect structured and unstructured data sources
  • Establish data quality, validation, monitoring, and governance practices
  • Partner with data scientists, analysts, engineers, product teams, and business stakeholders
  • Convert business needs into scalable data and technical solutions
  • Resolve pipeline, processing, performance, and integration problems
  • Improve data architectures and workflows for reliability, efficiency, and cost
  • Help modernise cloud-based data architectures and platforms
  • Create reusable frameworks, components, and engineering practices
  • Support production deployment, monitoring, and maintenance
  • Track developments in data engineering, cloud, analytics, AI, and modern data platforms

आवश्यकताएँ

  • At least five years of professional experience in data engineering, analytics engineering, data platforms, or a related technology role
  • Proven ability to design and build scalable data pipelines and processing solutions
  • Practical experience with Databricks and modern cloud data platforms
  • Strong knowledge of data engineering, data modelling, ETL/ELT, and distributed processing
  • Experience with AWS, Azure, or Google Cloud Platform
  • Programming and scripting proficiency in Python, SQL, Scala, or Java
  • Experience working with relational and non-relational databases and large datasets
  • Knowledge of data architecture, integration patterns, performance optimisation, and data quality
  • Experience enabling analytics, business intelligence, machine learning, or AI use cases
  • Strong analytical reasoning and problem-solving ability
  • Ability to collaborate effectively across technical and cross-functional teams
  • Clear communication skills for presenting technical concepts to business stakeholders
  • Experience in agile and fast-moving technology environments
  • Ability to lead projects independently from requirements through production implementation
  • Demonstrated interest in emerging data, cloud, analytics, and AI technologies

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