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.