Senior Hadoop Developer

Jobsbridge; Seattle (WA); On-site; Full time

Job summary

A leading IT staffing organization in Seattle is seeking a Big Data Specialist to lead enterprise data architecture and drive business process designs. The ideal candidate will have 3-4 years of hands-on experience with Big Data platforms, particularly in Apache Hadoop, Kafka, and Storm, along with a strong understanding of data processing and architecture strategies. This full-time position offers opportunities to work on large-scale data projects and innovate solutions in the IT domain.

Qualifications

• 3-4 years hands-on experience on BigData platform.
• Comprehensive experience in Big Data processing using Apache Hadoop and its ecosystem.
• Specialization in applications using advanced technologies such as Kafka, Spark, and Storm is preferred.
• Knowledge of configuring and administering Hadoop components.
• Experience in importing/exporting data using Sqoop from HDFS to RDBMS.
• Experience in configuring and working with Flume.

Responsibilities

• Lead enterprise data architecture strategy and methodologies.
• Drive business process design and modeling.
• Solve real-life problems using Data Lake and Big Data concepts.
• Review designs for robustness and quality.

Skills

BigData platform

Apache Hadoop

Kafka

Storm

HBase

Spark

Flume

MapReduce

Pig

Hive

Job description

Jobs Bridge Inc is among the fastest growing IT staffing / professional services organization with its own job portal. Jobs Bridge works extremely closely with a large number of IT organizations in the most in-demand technology skill sets.

Job Description

Skill BigData, Platform, Kafka, Storm, Hbase

Location Seattle, WA

Total Experience 8 yrs.

Max Salary Not Mentioned

Employment Type Direct Jobs (Full Time)

Domain Any

Description

GC/CITIZEN can apply

Required Skills:

3-4 years hands-on experience on BigData platform; comprehensive experience in Big Data processing using Apache Hadoop and its ecosystem (MapReduce, Pig, Hive, Sqoop, Flume and HBase).

Specialization/hands-on experience in development of applications using advanced technologies such as Kafka, Spark and Storm is preferred.

Knowledge of configuring/administration of Hadoop and its ecosystem components such as Hive, Pig, Sqoop etc.

Experience in importing and exporting data using Sqoop from HDFS to Relational Database Systems and vice-versa.

Hands on experience in configuring and working with Flume to load the data from multiple sources directly into HDFS.

In depth understanding/knowledge of Hadoop Architecture and various components such as HDFS, Job Tracker, Task Tracker, Name Node, Data Node and MapReduce concepts.

5+ years of experience in leading business process design, business events derivation and associated data objects and entity modeling.

5+ years of experience in driving the enterprise data architecture strategy, methodology and standards that delivers enterprise data model, associated meta model, common business vocabulary and taxonomies.

Experience in applying future state data architecture/design concepts such as Data Lake and Big Data to solve real-life problems.

Exposure to large-scale/enterprise-level data centric projects is a must

In-depth understanding of RDBMS systems and Database Appliances (such as Oracle/RAC and Netezza)

Experience reviewing designs for robustness and quality

TOGAF or an equivalent architecture framework certification.(Preferred)