Job Description :
Digital : BigData and Hadoop Ecosystems, Digital : BigData and Hadoop Ecosystem - MapR, Digital : Apache Spark, Digital / EIS : Internet of Things(IoT) for Energy Managemen

Essential Skills :-

? Serve as the business modeler / data analyst for data projects and initiatives,creating conceptual and logical business models used to generate physical datamodels and database schema.? Strong experience needed on integrated IOT data with big data platform.? Responsible for architecting and developing plan for streaming data fromdifferent fabs to all 3 different clouds (Google, AWS, Azure? Responsible for doing POC, documenting and developing full solution for thePOC.? Identify and document current and future state of data architecture.? Research, promote and develop data architecture best practices.? Work closely with BA, business and IT teams to clarify and refine functional datarequirement specifications.? Research, present and accurately articulate benefits and goals of thesetechnologies, such as Big Data, Hadoop, NoSQL, data virtualization and dataservices.? Establish new data standards and processes to support the companys needs.? Collaborate with various departments, architects, project managers and technicalmanagers to provide estimates, develop overall implementation solution plan andserve as a lead, when required, to implement solutions.? Create effective data models to support both RDBMS and NoSQL baseddatabases.? Effectively present / communicate data models to the business, IT and theproject teams.? Create and maintain a metadata management capability to integrate datadictionaries with the enterprise business glossary.
MINIMUM7 to 10 years experience in data modeling, systems analysis and design.? Demonstrated experience in creating medium to large-scale enterprise logicaldata models using normalization techniques.? Experience building enterprise data warehouse and business intelligencesolutions.? Proficiency in using query languages such as SQL, Hive, Pig? Worked on one or more of the following databases: Oracle, SQL Server, DB2LUW, Cassandra or MongoDB.? Strong experience using at least one of the top data modeling tools, such asERwin, ER/Studio or PowerDesigner.? Experience with NoSQL databases, such as MongoDB, Cassandra, HBase? Experience with Big Data technologies Hadoop / Spark / Kafka / HBase /Aerospike/ Elasticsearch - big plus