Data Analyst SME - IT

  • location: Charlotte, NC
  • type: Contract
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job description

Data Analyst SME - IT

job summary:
Job Description:

Note :Potential contract to hire position; candidates must be able to convert

Build new data pipelines, identify existing data gaps and provide automated solutions to deliver analytical capabilities and enriched data to applications.

Responsible for obtaining data from the System of Record and establishing real-time data feed to provide analysis in an automated fashion.

Hadoop applications to analyze massive data collections

processing framework to detect conditions

techniques supporting trending and analytic decision making processes

Apply Hadoop technologies for responsive front-end experience

within security guidelines established

 
location: Charlotte, North Carolina
job type: Contract
work hours: 9am to 5pm
education: Bachelors
 
responsibilities:
Build new data pipelines, identify existing data gaps and provide automated solutions to deliver analytical capabilities and enriched data to applications.

Responsible for obtaining data from the System of Record and establishing real-time data feed to provide analysis in an automated fashion.

Hadoop applications to analyze massive data collections

processing framework to detect conditions

techniques supporting trending and analytic decision making processes

Apply Hadoop technologies for responsive front-end experience

within security guidelines established

 
qualifications:
3+ years of Hadoop experience (experience working on the Data and Analytics Solutions team)

Hive Programing

Sqoop (utilizing various data sources)

Oozie workflows

Spark/PySpark

Hbase/Phoenix

Scala

Experience with NiFi a plus

Hadoop File Formats (e.g. ORC; Parquet; Avro; json)

Storm

BitBucket

Workflow scheduling tools such as CA ESP Automation

Python

Collaborate with application developers, database architects, data analysts and data scientists to ensure optimal data delivery architecture throughout ongoing projects/operations.

Design, build, and manage analytics infrastructure that can be utilized by data analysts, data scientists, and non-technical data consumers, which enables functions of the big data platform for Analytics.

Develop, construct, test, and maintain architectures, such as databases and large-scale processing systems that help analyze and process data in the way the Analytics organization requires.

Develop highly scalable data management interfaces, as well as software components by employing programming languages and tools.

 
skills: Competencies

- Self-starter who works with minimal supervision and the ability to work in a team of diverse skill sets

- Ability to comprehend customer requests and provide the correct solution

- Understanding of distributed computing principles

- Strong analytical mind to help take on complicated problems

- Desire to resolve issues and dive into potential issues

- Familiarity with the Agile Methodology

- Experience with big data tools: Hadoop, Spark, Kafka, etc.

- Experience with relational SQL and NoSQL databases, including SQL Server and Cassandra.

- Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.


Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

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