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| Job Location | Pune |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | IT - Software |
| Functional Area | IT Operations / EDP / MIS |
| EmploymentType | Full-time |
Experience in designing and productionizing large Data Lake and programs Good understanding of AWS (or any cloud) and Hadoop Architecture Hands on experience with any one programming language (Java, Python, Scala) Prior BI/ ETL/Data Modelling/Datawarehouse Design exposure will be an advantage Should have a sound understanding of AWS (or any cloud) storage compute services Good understanding of Big Data ecosystem (EMR, HDFS, Kafka/ Kinesis , Flume, Oozie, Hive, Spark, Storm, Flink, MapReduce etc) Understanding of ETL tools (Talend, Informatica, DataStage, Glue etc) Ability to translate complex data flows/transformations into sequences of ETL implementation tasks Understanding of NoSQL DBs (DynamoDB, HBase, Mongo, Marklogic, Cassandra etc) Experience in one more RDBMS: Oracle, Teradata, MySQL, SQL Server, Redshift, Postgres etc Ability to write and tune SQL queries Exposure to reporting and visualization tools (Tableau, QlikView etc) Exposure to ELK tools s/as Solr, ElasticSearch etc. Exposure to Data Lake consumption patterns (Analytics Sandbox, Reporting, Downstream feeds etc.) Experience in handling large teams, with good interpersonal and communication skills Exposure of working with large global teams and complex Data and Analytics projects Exposure to Data Analytics PreSales process is an advantage Self-motivated, team player, action-and-results oriented Well organized, good communication and reporting skills Ability to successfully work under tight project deadlines,
Keyskills :
etldata modelingerwinunixsource system analysisbig dataetl toolssql serversql queriesglobal teamsdata analyticscommunication skillssqldbsawshivehdfssolrglueinfmatica