Remote SW Systems Engineer-Big Data Technologies-Python,Java-MapReduce, Spark, Flink, Kafka, PySpark, NoSQL-9346

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Description:

  • The position is for a SW Systems Engineer specializing in Big Data Technologies, focusing on Python, Java, MapReduce, Spark, Flink, Kafka, PySpark, and NoSQL.
  • The role is remote and based in India, with an experience requirement of 4 to 10 years.
  • The engineer will be involved in innovating with generative AI and creating a global impact in machine learning.
  • Responsibilities include driving an innovative vision for products, leading the software development lifecycle, and transforming raw data into actionable insights.
  • The engineer will design and develop large-scale knowledge graphs and mentor other engineers on the team.
  • The role emphasizes maintaining high standards of technical rigor and operational excellence.

Requirements:

  • A degree in mathematics, computer science, or a related discipline is required.
  • Candidates must have 4+ years of experience in the complete software development lifecycle, including design, coding, code reviews, testing, build processes, deployments, and operations.
  • Proficiency in at least one programming language, preferably Python or Java, with 4+ years of programming experience is necessary.
  • Candidates should have 3+ years of experience in leading the design and architecture of large distributed systems, preferably on cloud platforms like AWS, Azure, or Google Cloud.
  • Experience with distributed and big data technologies such as MapReduce, Spark, Flink, Kafka, PySpark, and NoSQL is required.
  • Experience as a mentor or tech lead, as well as the ability to tackle complex and ambiguous problems, is essential.

Benefits:

  • The company promotes a culture of diversity, inclusion, and equality in the workplace.
  • Employees are encouraged to innovate and experiment with new technologies.
  • The role offers the opportunity to work on cutting-edge projects in IOT, big data, cloud computing, machine learning, and generative AI.
  • Employees can advance their careers by working with a team of highly talented engineers.
  • The company values employee growth and provides an environment where differences are celebrated.
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