Careers

●      Partner with internal stakeholders to understand business requirements, work with cross-functional data and product teams and build efficient and scalable data solutions.

●      Work in various phases of the software development life cycle right from Requirements gathering, Analysis, Design, Development, and Testing to Production.

●      Develop sustainable distributed data management solutions and workflows required for Data migration to cloud to enable analytics and derive business insights.

●      Build and maintain infrastructure pipelines for data extraction, transformation and loading of data from a variety of sources. Analyze data both in real-time and batch processing utilizing Spark, Kafka, Hadoop, and AWS technologies such as Kinesis, S3, ElastiCache, and Lambda.

●       Ensure overall data and code quality via Unit and Integration Tests. Troubleshoot and resolve issues in test and production environments. Employ CI/CD practices using Jenkins, Bogie and version control system GIT.

●      Identify and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.

Qualification:

This position requires a minimum of a Bachelor’s Degree or its equivalent in Computer Science.