Big Data Architect- Kakfa, Flume, Hbase, Spark

A job opportunity as a Senior Big Data Architect with one of our top end clients who is in the banking industry. The candidate needs to have performed architect roles in multiple projects and understand enterprise architect challenges.

Mandatory- Good understanding of architectural concepts on Spark Streaming, Kafka, Flume, HBase and Solr

Proficient in defining technical architecture for Real Time data processing

Proficient in designing, developing & deploying scalable big data analytic solutions based on Spark Streaming and HBase

Strong technical knowledge and programming experience in Real Time streaming with Spark streaming, Flume and Kafka

Prior experience in working on Spark Stateful transformations

Hands-on experience in development (Spark/HBase/Kafka/Flume), capacity planning, deployment and troubleshooting

Experience on Spark streaming and HBase Performance Tuning

Should have led full life cycle development of Hadoop/Spark implementation for high volume data

Experience working with Cloudera Hadoop distribution

Strong experience in Core Java

Additional- Experience in Finance domain

Exposure to WebSphere MQ

Experience in installing and configuring Hadoop on AWS

Experience in data quality, exception management, reconciliation and data migration

FOR IMMEDIATE CONSIDERATION call, or email (see below)