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Lead Data Engineer

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Role: Lead Data Engineer

Location: Bangalore

Start: Immediate to 30 days’ notice

Skills & Description:

Lead Data Engineer, 7 + Years

Skillset Required (skills in bold & underlined are mandatory):

  • 7+ years of experience in software development, with a strong foundation in distributed systems, cloud-native architectures, and data platforms.
  • Expertise in big data technologies such as Apache Spark and real-time streaming technologies like Apache Kafka.
  • Strong programming skills in Python, Java, C++, SQL etc.
  • Advanced knowledge of a major cloud platform (AWS, Azure, GCP) and its ecosystem of data services.
  • Proficiency with Infrastructure as Code (IaC) tools like Terraform or AWS CloudFormation.
  • Strong understanding of advanced data modeling techniques and modern data warehouses.
  • Ability to design scalable, fault-tolerant, and maintainable distributed systems.
  • Excellent communication and stakeholder management skills.

What You’ll Do:

  • Design, build, deploy, and own complete, scalable, and reliable data platforms and solutions.
  • Lead the technical design of new data pipelines, services, and systems.
  • Build reusable frameworks, libraries, and data management tools to improve productivity.
  • Optimize performance and cost-efficiency of data workflows and compute layers.
  • Collaborate with stakeholders such as data scientists, business analysts, and product managers to understand and translate business requirements into technical solutions.
  • Provide technical leadership and mentorship to junior engineers.

Job Type: Full-time

Pay: ₹2,500,000.00 - ₹2,800,000.00 per year

Application Question(s):

  • Having minimum 7 years to 14 years of experience is necessary..

Experience:

  • AWS: 2 years (Preferred)
  • Python: 3 years (Preferred)
  • Data Engineer: 6 years (Preferred)

Work Location: In person

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