Big Data Engineer

Summary

Join Nagarro, a global digital product engineering company, and utilize your expertise in Hadoop and MapReduce to build innovative products and services. Contribute to a dynamic and non-hierarchical work culture. Demonstrate proficiency in Linux command-line, SQL, and NoSQL databases. Showcase experience with virtualization, containerization, and database administration in enterprise environments. Apply your understanding of DevOps and automation concepts, including Ansible playbook development. Collaborate with a team of 18,000+ experts across 39 countries.

Requirements

• Have demonstrable proficiency in Linux command-line
• Possess a strong SQL and NoSQL background
• Have programming experience
• Have minimum 5 years of implementation and troubleshooting experience with a majority of the following open-source technologies: Hadoop (HDFS, Yarn, MapReduce), Ambari, Atlas, Avro, Parquet, Hbase, Hive, Hue, Impala, JanusGraph, Oozie, Pig, Ranger, Sentry, Spark, Sqoop, Zeppelin, ZooKeeper

Responsibilities

• Develop Ansible playbooks
• Administer databases
• Troubleshoot Hadoop (HDFS, Yarn, MapReduce), Ambari, Atlas, Avro, Parquet, Hbase, Hive, Hue, Impala, JanusGraph, Oozie, Pig, Ranger, Sentry, Spark, Sqoop, Zeppelin, and ZooKeeper
• Work in enterprise/carrier production environments
• Utilize virtualization and containerization at scale
• Apply DevOps and automation concepts

Preferred Qualifications

• Have experience with Airflow, BigTop, Cassandra, Flume, Kafka, Kubernetes, Solr
• Have experience with Hive, Hbase, SQOOP, ZooKeeper