e-Zest - Big Data Architect

- Provides technical leadership in Big Data space (Hadoop Stack like M/R, HDFS, Pig, Hive, HBase, Flume, Sqoop, etc..NoSQL stores like Cassandra, HBase etc).

- Evaluate and recommend Big Data technology stack for the platform

- Passionate for continuous learning, experimenting, applying and contributing towards cutting edge open source technologies and software paradigms

- Drive significant technology initiatives end to end and across multiple layers of architecture

- Provides strong technical leadership in adopting and contributing to open source technologies related to BigData

- Provide strong technical expertise (performance, application design, stack upgrades) to lead Platform Engineering

- Defines and Drives best practices that can be adopted in BigData stack.

- Drives operational excellence through root cause analysis and continuous improvement for BigData technologies and processes.

- Provide technical leadership and be a role model to data engineers

- Provide/inspire innovations that fuel the growth of Fractal as a whole.

Desired Candidate Profile : 

Qualifications & Experience :

- 10+ years of demonstrable experience designing technological solutions to complex data problems, developing & testing modular, reusable, efficient and scalable code to implement those solutions.

Ideally, This Would Include Work On The Following Technologies - 

- Expert-level proficiency in Java.

- Strong understanding and hands-on experience in distributed computing frameworks, particularly Apache Hadoop 2.0 (YARN; MR & HDFS) and associated technologies one or more of Hive, Sqoop, Avro, Flume, Oozie, Zookeeper, etc.

- Operating knowledge of cloud computing platforms (AWS and/ or Azure)

- Ability to work in a team in an agile setting and clear understanding of how GIT works.

- A technologist - Loves to code and design

In addition, the ideal candidate would have great problem-solving skills, and the ability & confidence to hack their way out of tight corners.

Relevant Experience :

- Java expertise

- Distributed computing frameworks (Hadoop or Spark)

- Cloud computing platforms (AWS and Azure)

- Distributed and low latency (streaming) application architecture

Desirables (would Be a Plus) :

- Row store distributed DBMSs such as Cassandra

- Familiarity with API design

Education : B.E/B.Tech /M.Tech in Computer Science or related technical degree OR Equivalent