• Designing, building and optimizing an efficient big-data processing pipeline.
• Creating easy-to-use interfaces for front-end clients.
• Integrating to various internal and external data source.
• Languages and Technologies: Spark, Scala/Java, Node.js, ElasticSearch, SQL, GraphQL, Kafka, Kubernetes.
• Design and implementing big data solution
• Create simple and coherent data models for complex data
• Create and optimizing ETL jobs over complex data.
• Programme Spark jobs by using Scala/Java while following best practices.
• Identify technical debt and provide solutions to eliminate these.
• Participate in design- and code discussions with colleagues

Work Experience Required: 5 to 10 yrs.

Qualification: BE/B.Tech/MS/MCA/BCA/Any Graduate