Job Details: Experience in Big Data technologies Hadoop, Spark, Pig, Hive, HBase Experience on distributed technology frameworks - MapReduce, Spark, Storm Experience in NoSQL Technologies MongoDB, Cassandra, HBase , Azure Cosmos DB Good knowledge of Big Data, Relational Database, Data Architecture Hands-on experience with using Cloud Platform provided Big Data and non-big data services o e.g. EC2, EMR, RedShift, S3, Data Pipeline, Athena, Glue in Amazon, Lambda Web Services Hands-on experience in setting up Cloud platforms for Clients use-cases Experience in Java and J2EE technologies, Python, Scala OR Experience on Dataware House technologies, ETL, Data modeling, Data movement and Transformation mapping (source to target) Good with Shell scripts Experience on Hortonworks/Cloudera platforms Experience on designing and building scalable infrastructure and platform to collect, process and analyze very large amounts of data (structured and unstructured). Experience in creating architecture and technical design documents. Strong analytical, problem-solving, data analysis and research skills . Candidate should have performed Proof of Concepts/Point of Views/Technical RFPs * Cloud/Analytics Certifications if any is an added advantage
A global leader in consulting, technology services and digital transformation, Capgemini is at the forefront of innovation to address the entire breadth of clients opportunities in the evolving world of cloud, digital and platforms.