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| Job Location | Pune |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | Management Consulting / Strategy |
| Functional Area | DBA / Datawarehousing,General / Other Software |
| EmploymentType | Full-time |
Gender : Male/Female Industry : ITResponsibilities :Designing, Creating, & Maintaining data management & processing systems Building highly scalable, robust & fault-tolerant systems Taking care of the complete ETL process Discovering data acquisitions opportunities Improving Data Quality, Reliability &Efficiency of the system Creating solutions by integrating variety of programming languages & tools Introducing new data management tools & technologies into the existing system to make it more efficient Deploying Disaster Recovery Techniques Introducing new data management tools & technologies into the existing system to make it more efficient.Requirements:Knowledge of Hadoop ecosystem and different frameworks inside itShould have Experience in :Data Processing: Hadoop, Hive, Spark, MapReduce, Python, Pyspark Data Ingestion: Sqoop, Flume Experience on Kafka, Oozie, PIG NOSQL Database: Hbase, Mongo DB, Cassandra etc. (At least one) AWS Cloud (Glue, Athena, Redshift, Talend OR Altery) Real-time processing Framework (Apache Spark) SQL-based technologies (e.g. MySQL etc.) Knowledge of machine learning tool such as SparkML / Mahout would be plus Experience processing large amounts of structured and unstructured data, including integrating data from multiple sources Problem solving mindset working in agile environment Experience in support and troubleshootingJoining : Immediate,
Keyskills :
javahivebig datahadoopapache webserverdata qualitydata managementproblem solvingmachine learningunstructured dataprogramming languagesetlawscaresqoopmysqlooziespark