Be part of cross-functional effort to Design and development of the next generation of data platform for Demand Planning forecasting and Supply chain Management.
Performing requirements engineering translate complex functional and business requirements into technical requirements solutions and design.
Partner with engineers and business stakeholders from various teams to build data insights and help them to achieve their business goals.
Have a broad set of technical skills and knowledge across hardware software systems and solutions development and a across more than one technical domain.
Demonstrate experience in real world IT or other solutions environments including creating (on your own or with a team) a product or IT solution in Big Data/Analytics primarily using Cloudera distribution.
Strong communication skills including representing Cognizant in industry standards organizations or industry technical forums or events in Cloud Security.
Strong technical team leadership mentorship and collaboration.
Proficiency with databases data warehouse data management and SQL expertise
Experience building high-quality end-to-end data solutions in an agile environment from requirements through production. Complex Even processing – Kafka\Pulsar Spark Streaming
Batch Processing – Hive, Impala, Kudu, Spark
Experience in Snowflake would be an added advantage
Proficiency in Solution Architecture and expertise in big data processing (ETL) technologies with at least 3 years is required.
Experience in high level programming languages using Scala and Java is mandatory.
Python is an added advantage and is not mandatory.