Teradata Hadoop Solution Architect in Powai Mumbai, India
This position is for Big Data Solution Architect who will be involved inBig Data projects. This is a client-facing position having accountability for client expectations management while delivering the hadoop platform related services and solutions.
The Hadoop Solution architect should be able to assist Projects & client in all aspects related to hadoop platform including Distribution Selection, Cluster Sizing, networking, Optimization and Security implementation etc. The Hadoop Solution Architect requires specific technical knowledge about the administration and control of the Hadoop System, including the associated operating system, related tools, network, and hardware.
15+ years total Industry experience with strong technical background and 5+ years in Big data platform administration.
Minimum 3 years in Managing and Supporting large scale Production Hadoop environments in any of the Hadoop distributions (Apache, Teradata, Hortonworks, Cloudera, MapR, IBM BigInsights, Pivotal HD)
5+ years of experience in Scripting Language (Linux, SQL, Python). Should be proficient in shell scripting
4+ years of experience on Administrative activities likes –
Management of data, users, and job execution on the Hadoop System
Periodic backups of the system
High availability, BAR and DR strategies and principles
Plan for and support hardware and software installation and upgrades.
2+ years of Experience in Hadoop Monitoring tools (Nagios, Ganglia, Cloudera Manager, and Ambari etc).
Should have in depth knowledge working with Cloud environment AWS or Azure.
Should have in depth knowledge on Big data distributions such as Cloudera, Hortonworks & Greenplum Pivotal, and MapR.
Hadoop administration, maintenance, control, and optimization of cluster capacity, security, configuration, process scheduling, and errors.
Define standards, Develop and Implement Best Practices to manage and support data platforms
Should have experience in Operations methodologies like ITIL.
Nice to have Experience:
- Experience with ANY ONE of the following:
- Proficiency in Hive internals (including HCatalog), SQOOP, Pig, Oozie and Flume/Kafka.
Development or administration on NoSQL technologies like Hbase, MongoDB, Cassandra, Accumulo, etc.
Development or administration on Web or cloud platforms like Amazon S3, EC2, Redshift, Rackspace, OpenShift, etc.
Development/scripting experience on Configuration management and provisioning tools e.g. Puppet, Chef
Web/Application Server & SOA administration (Tomcat, JBoss, etc.)
DevOps tools like Jenkins, Docker, Ansible, GitHub
Development, Implementation or deployment experience on the Hadoop ecosystem (HDFS, MapReduce, Hive, Hbase)
Analysis and optimization of workloads, performance monitoring and tuning, and automation.
Addressing challenges of query execution across a distributed database platform on modern hardware architectures
Experience on any one of the following will be an added advantage:
- Hadoop integration with large scale distributed data platforms like Teradata, Teradata Aster, Vertica, Greenplum, Netezza, DB2, Oracle, etc.
Proficiency with at least one of the following: Java, Python, Perl, Ruby, C or Web-related development
Knowledge of Business Intelligence and/or Data Integration (ETL) operations delivery techniques, processes, methodologies
Exposure to tools data acquisition, transformation & integration tools like Talend, Informatica, etc. & BI tools like Tableau, Pentaho, etc.