Data Architecture Leader

2 days ago

Jamnagar, Gujarat, India beBeeBigData Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Lead Big Data Engineer Job Description

We are seeking a talented professional to lead our data platform and pipeline, driving roadmap features of the Enterprise TruRisk Platform. This cutting-edge platform helps customers Measure, Communicate and Eliminate Cyber Risks.

Key Responsibilities:
  • Be the thought leader in data platform and pipeline along with Risk Evaluation.
  • Provide technical leadership to the engineering organization on data platform design, roll out and evolution.
  • Liaison to product teams, professional services and sales engineers on solution and trade-off reviews and represent engineering in such conversations.
  • Drive technology explorations and roadmaps.
  • Serve as a technical lead on our most demanding, cross-functional departments.
  • Ensure the quality of architecture and design of systems.
  • Fully and completely understand system interdependencies and limitations.
  • Possess expert knowledge in performance, scalability, enterprise system architecture, and engineering best practices.

The ideal candidate will have 8+ years of total experience, with 4+ years of relevant experience in design and architecture of Big Data solutions using Spark, Kafka, and Presto technology.

Requirements:
  • Bachelor's degree in computer science or equivalent.
  • Strong experience in leading development life cycle process and best practices.
  • Experience leading development and delivery of large-scale systems focused on managing the infrastructure layer of the technology stack.
  • Hands-on experience in scripting and automation.
  • In-depth understanding of RDBMS/NoSQL, Oracle, Cassandra, Redis, Hadoop, lambda architecture, kappa, and kappa++ architectures with flink data streaming and rule engines.

This is an exciting opportunity to be an integral part of a team building Qualys' next-generation platform using Big Data & Micro-Services based technology to process over billions of transactions data per day.

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