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Fresher
Not Disclosed
  • Posted a day ago
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Job Description

  • Lead the design, development, and deployment of scalable and secure data pipelines, platforms, and ML/AI infrastructure.
  • Oversee integration of structured and unstructured data sources to support advanced analytics, machine learning, and AI initiatives.
  • Evaluate, implement, and champion new tools and technologies to improve productivity, scalability, and effectiveness of data engineering efforts.
  • Establish and enforce data engineering best practices, technical standards, governance, and quality standards.
  • Ensure data security, privacy, compliance, system performance, scalability, and availability across all data engineering projects and platforms.
  • Define, monitor, and report on key performance indicators (KPIs) to measure the success and impact of data engineering activities.
  • Lead incident response, root cause analysis, and resolution for data platform issues, ensuring high availability and reliability.
  • Collaborate with cross-functional teams to deliver robust data-driven business solutions and define technical roadmaps.
  • Mentor, coach, and grow a high-performing team of data engineers, fostering a culture of innovation, excellence, and continuous learning.
  • Partner with senior leadership to define, execute, and communicate the enterprise data strategy.

More Info

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Key Skills

data engineering best practices

ML AI infrastructure

data pipelines

availability

data-driven business solutions

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