Senior Hadoop Architect

Must have technical competency

Strong hands‑on knowledge in Core Java, J2EE, JDBC, Spring, Struts, Hibernate, Hadoop.

HDFS.

• Map Reduce
• Parallel Processing
• Stream Processing
• Flume
• Splunk

SAS, SPSS, R, Mahout.

Hands‑on experience with BI tools and reporting software e.g. Microstrategy, Cognos, Pentaho.

Hands‑on experience with the Hadoop stack e.g. Map Reduce, Sqoop, Pig, Hive, Hbase, Flume.

Hands‑on experience with related/complementary open source software platforms and languages e.g. Java, Linux, Apache, Perl/Python/PHP, Chef.

Hands‑on experience with ETL tools e.g. Informatica, Talend, Pentaho.

Hands‑on experience with any 1 of analytical tools, languages, or libraries e.g. SAS, SPSS, R, Mahout.

Hands‑on experience with productionalizing Hadoop applications e.g. administration, configuration management, monitoring, debugging, and performance tuning.

• Ability to critically evaluate multiple architecture options.
• Strong technical documentation skills.
• Should know how to translate business requirements into analytical requirements.

Strong business development focus with an opportunistic attitude.

Responsible for talent management and recruiting to grow, at the same time, infusing the right "analytics-driven" culture.

• Previous experience with high-scale or distributed RDBMS e.g. Teradata, Netezza, Greenplum, Aster Data, Vertica.
• Knowledge of cloud computing infrastructure e.g. Amazon Web Services EC2, Elastic Map Reduce and considerations for scalable, distributed systems.
• Knowledge of No
  
  SQL platforms e.g. key-value stores, graph databases, RDF triple stores.

• Unstructured Search
• Call Centre Analytics
• Social Media Analytics

Minimum 4+ years and ideally 8+ years’ experience in industries, preferably insurance, banking, financial services, healthcare, or retail.