Essential Skills:
- Should have 10+ years of experience
- Experience with Bigdata, Hadoop Eco System
- Should have experience in Java, Kafka, Zookeeper, Scala
- 5+ years developing infrastructure for asynchronous batch processing pipelines.
Preferred qualifications:
- Track record of building automation infrastructure to orchestrate hundreds of concurrent data pipelines spanning SQL, NoSQL and in-memory subsystems.
- Fluent in Scala development frameworks such as Play, Akka, Docker and Kubernetes.
- Working knowledge of NoSQL frameworks like Kafka, Cassandra, Solr or Elastic Search.
- Expertise in a scripting language such as Python.
- Application development experience with relational databases (e.g. Postgres) and NoSQL databases (e.g. Cassandra).
- Data Analysts plan decision-making, improve efficiency, enhance customer experiences, and manage risks by interpreting complex data sets.
- Success in data analysis demands a blend of technical skills (data cleaning and statistical analysis) and soft skills (critical thinking and communication).
- The surge in data usage has significantly increased the demand for skilled data analysts across various sectors.
- Exp with DS/ Machine Learning