Job Details

Design, Develop, test and maintain platforms (such as databases and large-scale processing systems)
Ensure architecture will support the requirements of the business
Discover opportunities for data acquisition
Develop data set processes for data modeling, mining and production
Employ a variety of languages and tools (e.g. scripting Languages) to integrate multiple systems together
Recommend ways to improve data reliability, efficiency and quality

• Expertise in Big Data space (Hadoop Stack like M/R, HDFS, Pig, Hive, HBase, Yarn)
• Hands on experience on real-time streaming data architectures (Apache Kafka )
• Hands on experience with ELK stack ( ElasticSearch, LogStash, Kibana )
• Must also have considerable expertise in data warehousing and NoSql technologies ( Apache Cassandra, Apache Ignite)
• Programming Experience in Java/Scala/Python
• Autoscaling large scale Applications ( Kubernetes/Ansible)

Reference ID - GH/Telecom/ JC//10052018//75357/Big Data Engineer