Talentica Software, started by industry veterans and ex- IITB grads, is a product engineering company that helps tech-native enterprises and startups turn their ideas into market-leading products. We deliver innovative, high-quality products at an accelerated pace by combining the product mindset of our human experts with the power of AI. Over the last 22 years, the company has worked with over 200+ startups, with most clients based in the US, ensuring many successful exits.
In 2022, Great Place to Work recognized Talentica Software as India's Great Mid-Size Workplace.
What we're looking for?
We're seeking a Data Engineer Lead who will be engaged in data science-related research and software application development and engineering duties related to our enterprise-grade Wi-Fi technology, delivering unprecedented visibility into the user experience. In this role, you'll collaborate with other engineers and product managers to enhance Wi-Fi AIOps models.
This position requires experience in dealing with huge amounts of data generated by communication protocols. You'll apply your knowledge of wireless communication networks, machine learning and software engineering to develop and implement scalable algorithms to process a large amount of streaming data to classify AIOps Insights.
If solving complex big data challenges excites you, we'd love to connect.
What you'll be doing ?
Design and implement machine learning solutions to process terabytes of streaming data, enabling AIOps for Wi-Fi networks to detect issues and classify insights.
Require knowledge and experience of various big data streaming processing platforms, such as, Apache Storm and Apache Flink, and NoSQL database storage, Cassandra, ElasticSearch, Redis.
Utilize analytical and programming skills, such as Hadoop, Java and Python
Require good knowledge and experience to work with cloud based CICD tools and cloud devops teams to collect stats and create monitors for our data processing pipelines
Good understanding Python web service and be able to develop good quality code
Experience with containerizing applications, e.g., with Docker
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