Hiring For Hadoop Lead/ Developer

UpMan Placements

8 - 11 Years
1 Openings
Not Disclosed
Face-to-Face interview
Mumbai

Key Skills

Hadoop Cloudera Hive Impala Hbase Sqoop Flume Kafka Nifi Hadoop Architecture Hadoop Developer

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Job Description

hadoop lead role

experience – 9+ years

- strong architectural experience with hortonworks, cloudera hadoop distributions on appliance based and on-premise clusters.

- expertise in providing technical solutions for data lakes design and data ingestion in hadoop.

- expertise in data modelling, data governance and architecture of large size databases.

- expertise in understanding complex data models, large scale data migrations and application development.

- expertise in designing data pipelines solutions for structured, semi-structured and unstructured data in hadoop.

- expertise in developing solutions for batch and real time processing data processing in hadoop.

- hands on experience in query writing using hiveql, impala ql and hbase commands.

- able to provide technical guidelines assistance to development team if they face any problems related to environment

- able to coordinate with cloudera team for trouble shooting, os / network related problems with respective teams.

- proficiency in cloudera manager architecture, cloudera cluster environment and cloudera manager.

- proficiency in data ingestion tools like sqoop, flume, kafka, nifi(hdf), unix shells scripting and python

- proficiency in building data warehouse on top of hadoop in hive. defining data models and data mapping from the source

to enterprise model.

- proficiency in creating solutions in spark (scala/pyspark) for batch and real time processing.

- proficiency in developing solutions for nosql databases like hbase, cassandra and mongodb.

- knowledge of data security / governance and data lineage handling on hadoop clusters.

- strong experience on sql server and oracle, mysql.

- expertise in understanding java , rest api concepts and troubleshooting java based services.