Hadoop Engineer

Role & responsibilities

9+ years of exeperience

• Big Data Technologies (Hadoop, Spark, Kafka, Impala, Hbase, Docker-Container, Ansible and many more).
• Requires experience in cluster management of vendor-based Hadoop and Data Science (AI/ML) products like Cloudera, Databricks, Snowflake, Talend, Greenfield, ELK, KPMG Ignite etc.
• Works on complex, major or highly visible tasks in support of multiple projects that require multiple areas of expertise
• Team member will be expected to provide subject matter expertise in managing Hadoop and Data Science Platform operations with focus around Cloudera Hadoop, Jupyter Notebook, OpenShift, Docker- Container Cluster Management and Administration
• Integrates solutions with other applications and platforms outside the framework
• He/she will be responsible for managing platform operations across all environments which includes upgrades, bug fixes, deployments, metrics / monitoring for resolution and forecasting, disaster recovery, incident/problem/ capacity management