
Building Scalable Data Infrastructure
4 days ago
This is a role where you will be responsible for designing and executing large and complex distributed data systems.
The team handles over 5 million unique topics and uses cutting-edge Machine Learning and AI technologies on a large Hadoop cluster. You will work with tech stack that includes Java, Elastic Search/Solr, Kafka, Spark, Machine Learning, NLP, Deep Learning, Redis, Big Data technologies like Hadoop, HBase, YARN etc.
You will research on and integrate any Big Data tools and frameworks required to provide requested capabilities. Your role will involve understanding Business/Data requirements and implementing scalable solutions.
Key Responsibilities:
- Designing and implementing data pipelines and architectures
- Working with cross-functional teams to develop and implement new features
- Researching and integrating new Big Data tools and frameworks
- Ensuring the scalability and performance of data systems
- Collaborating with data scientists and engineers to develop and deploy machine learning models
Required Skills:
- Java programming
- Experience with Big Data technologies like Hadoop, HBase, YARN etc.
- Knowledge of machine learning and AI technologies
- Strong problem-solving skills
- Excellent communication and collaboration skills
Benefits:
- Opportunity to work with cutting-edge technologies
- Chance to collaborate with experienced professionals
- Competitive salary and benefits package
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