Graph Data Engineer

Overview

Hybrid
Depends on Experience
Contract - W2
Contract - 12 Month(s)
Able to Provide Sponsorship

Skills

Graph Databases
Tiger
Neo4j

Job Details

Key Responsibilities:

Hadoop developers for the Graph Platform/ Neo4j / Tiger Graph Developer
Primary Skill
Hadoop
Secondary Skill
Hive
Tertiary Skill
Spark
Required Qualifications
6+ years of hands-on experience in software development or data science

Support the companys commitment to protect the integrity and confidentiality of systems and data.

Experience building E2E analytics platform using Streaming, Graph and Big Data platform

Experience with Graph-based data workflows and working with Graph Analytics

Extensive hands on experience in designing, developing, and maintaining software frameworks using Kafka, Spark, Neo4J, Tiger Graph DB,

Hands one experience on Java, Scala or Python

Design and build and deploy streaming and batch data pipelines capable of processing and storing large datasets quickly and reliably using Kafka, Spark and YARN

Experience managing and leading small development teams in an Agile environment

Drive and maintain a culture of quality, innovation and experimentation

Collaborate with product teams, data analysts and data scientists to design and build data-forward solutions

Provide the prescriptive point-solution architectures and guide the descriptive architectures within assigned modules

Own technical decisions for the solution and application developers in the creation of architectural decisions and artifacts

Manage day-to-day technology architectural decision for limited number of specified assigned modules including making decision on best path to achieve requirements and schedules.

Own the quality of modules being delivered, insure proper testing and validation processes are followed.

Ensure the point-solution architectures are in line with the enterprise strategies and principles

Reviews technical designs to ensure that they are consistent with defined architecture principles, standards and best practices.

Accountable for the availability, stability, scalability, security, and recoverability enabled by the design

Desired Qualifications
Agile

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Hadoop

Hive

Spark

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