Big Data Visionary

3 days ago


Thoothukudi, Tamil Nadu, India beBeeData Full time ₹ 2,50,00,000 - ₹ 3,50,00,000

At the forefront of innovation, we push boundaries to drive progress. As a Lead Big Data Engineer, you will spearhead the delivery of roadmap features for our Enterprise TruRisk Platform.

This is an exceptional opportunity to be an integral part of a team building our next-generation platform using Big Data & Micro-Services based technology. You will collaborate with engineers and architects to prototype, design, develop, and support a highly scalable, distributed SaaS-based Security Risk Prioritization product.

The successful candidate will provide technical leadership on data platform design, roll-out, and evolution. They will also liaison with product teams, professional services, and sales engineers on solution and trade-off reviews and represent engineering in such conversations.

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.
  • Drive technology explorations and roadmaps.
  • Serve as a technical lead on our most demanding cross-functional departments.

Requirements:

  • Bachelor's degree in computer science or equivalent.
  • 8+ years of total experience.
  • 4+ years of relevant experience in design and architecture of Big Data solutions using Spark.
  • 3+ years of experience in working with engineering resources for innovation.
  • 4+ years of experience in understanding Big Data events flow pipeline.
  • 3+ years of experience in performance testing for large infrastructure.
  • 3+ In-depth experience in understanding various search solutions (Solr/Elastic).
  • 3+ years of experience in Kafka.
  • In-depth experience in Data lakes and related ecosystems.
  • Experience in Presto technology.
  • Hands-on experience in scripting and automation.
  • Strong knowledge of RDBMS/NoSQL, Oracle, Cassandra, Redis, Hadoop, lambda architecture, kappa, kappa ++ architectures with Flink data streaming and rule engines.
  • Design and implement secure big data clusters to meet many compliances and regulatory requirements.
  • Experience leading the delivery of large-scale systems focused on managing the infrastructure layer of the technology stack.
  • Strong experience in doing performance benchmarking testing for Big data technologies.
  • Strong troubleshooting skills.

Preferred Requirements:

  • Project management experience

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