Nagarro is a digital product engineering company that is rapidly scaling and looking for new colleagues.
The company builds products, services, and experiences that inspire and delight across all devices and digital mediums.
The work culture is dynamic and non-hierarchical, emphasizing collaboration and innovation.
The Big Data Engineer position requires proficiency in Hadoop and MapReduce, with additional skills in Hive, Hbase, SQOOP, and ZooKeeper being advantageous.
Candidates must demonstrate proficiency in Linux command-line and possess a strong background in SQL and NoSQL.
Programming experience is required, along with experience in virtualization and containerization at scale.
Database administration experience is necessary, as well as experience working in enterprise or carrier production environments.
An understanding of DevOps and automation concepts is essential, including experience in Ansible playbook development.
Requirements:
Candidates must have a minimum of 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, and ZooKeeper.
Experience with additional technologies such as Airflow, BigTop, Cassandra, Flume, Kafka, Kubernetes, and Solr is preferred.
Benefits:
The job offers the opportunity to work in a dynamic and non-hierarchical work culture.
Employees will be part of a global team of over 18,000 experts across 39 countries.
The position allows for personal and professional growth by tackling challenges and contributing to innovative solutions.
