Hiring For Hadoop Lead/ Developer

UpMan Placements

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

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.