Data Engineer III

7 - 11 years

35 - 40 Lacs

Posted:8 months ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

 
  • Design, build, and support scalable and durable data solutions that can enable self-service consumption use cases using cloud-based technologies in an agile manner.
  • Work closely with business teams and stakeholders to understand reporting needs and translate them into data-driven insights.
  • Create automated reporting solutions to enable self-serve analytics.
  • Design and implement efficient data models for reporting and analytics use cases.
  • Develop scalable and highly performant distributed systems focusing on key metrics including availability, monitoring & resiliency.
  • Monitor and optimize the performance of data processing applications, ensuring they meet throughput and latency requirements.
  • Implement data quality checks and data governance practices to maintain data accuracy and consistency.
  • Maintain clear and comprehensive documentation for data pipelines, code, and configurations.
  • Promote good development methodologies via code reviews, great software design, brown bags, or tech talks.
  • Provide support to both internal and external team members where necessary.
Experience and qualifications:
  • Bachelor s degree in computer science or related technical field or equivalent related professional experience
  • 7+ years of proven experience in Big Data and distributed systems.
  • 4+ years of hands-on experience in BI development with tools like Tableau, Power BI, Looker, or Qlik.
  • 4+ years of hands-on experience with Apache Spark & Scala for big data processing.
  • 4+ years of hands-on experience with Apache Airflow, or other data orchestration tools.
  • Strong proficiency in SQL for data querying, transformation, and optimization.
  • Excellent problem-solving skills and the ability to work in a collaborative team environment.
  • Strong communication skills to effectively convey technical concepts to non-technical stakeholders.
  • Ability to work across India, London and US time zones for collaboration with global teams.

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