Hadoop Developer

Job Description

Looking for Developers with strong experience on Hadoop, Impala, Hive, Spark, Unix, Graph and some Python and UI (React) experience.

Priority location- NJ

Ex- Client preferred

2 rounds of interview, In-person preferred.

Pure Backend

Key contributor to development initiatives that require Hadoop technical expertise across numerous components

Effectively partner with internal and external technical resources to define and design solutions to meet Business needs

Design, develop, enhance, debug, support, maintain and test software applications that support Business units

Provide innovative solutions to problems and drive the design/development of components

Effectively conveys message in both written and verbal development discussions

Expertise and demonstrated experience in Hadoop ecosystem components: HIVE, HDFS, SPARK

Strong grasp and experience in PySpark (2.4 or higher) development

Skilled in Bigtable design, with HBASE experience preferred

Strong knowledge of Impala, including demonstrated experience in optimized view design

Knowledge and implementation experience with RESTer API

Strong SQL knowledge and data analysis skills

Familiarity and experience with Autosys scheduler

Experience in Unix shell scripting

Strong working experience in Agile methodology

Working experience with Autosys or other Schedular tools

Scala experience is preferred, but not required

Familiarity with Python or Java programing language strongly preferred

Familiarity and working experience with HIVE 3.0 (CDP platform) preferred

UI/UX development experience strongly preferred

Banking domain experience (especially in compliance and risk)