Data Engineer - Remote

Overview

Remote
$67.46 - $72.46
Contract - W2
Contract - 12 Month(s)

Skills

SQL Query
Python
Pyspark
Simulator
automated unit tests
scale data
Dashboard design
business visualizations
Tableau
Data Collection
Data Analysis
Data Control
IT Data Management
standard data management tools
standard data management techniques
data recording
data management systems
Business Requirements Analysis
Business Data Modeling
business requirements
Application Development
Database Administration
database objects
Customer Analysis
Market Analysis
Gap Analysis
gathering
analyzing
documenting information requirements
data systems
analytics systems
platforms
analytics strategy

Job Details

Title: Data Engineer - Remote

Description:

Major Purpose:

Works closely with the business and other Information Technology (IT) teams focusing on the processes of gathering, analyzing and documenting information requirements using standard data management tools and techniques for the creating, support and Administration of database objects. Work is of medium complexity and moderate in risk. Has broad contact with responsibility to multiple departments and functional operations, and ongoing interaction with business contacts on tactical issues. Serves as an effective and key team member in various roles including serving as a team Lead. Follows established processes for tasks with minimal review. Uses discretion and judgment in planning own work/schedule and has some responsibility for planning work/schedules for others on project-related work. Impact of decision-making is medium risk and impact. Actively works to share knowledge across workgroups. Applies information analyses to assist in the effective implementation and integration of a business process. Integrate

Major Duties:

Collect business requirements using a variety of methods, such as interviews, document analysis, workshops, and workflow analysis, to express the requirements in terms of Target user roles and goals.

Work independently to collate and analyze data using predetermined tools, methods, and formats to create standard insights.

Make recommendations to improve data and analytics systems and platforms, contributing to the continuous improvement and refinement of data and analytics strategy.

Support creation of machine learning algorithms by applying standard statistical analysis or data preparation methods.

Prepare and coordinate the completion of various data and analytics reports.

Consult and educate stakeholders on methods for streamlining and standardizing data recording to ensure quality and accuracy.

Help others get the most out of data management systems by providing support and advice.

Collate and analyze data using preset tools, methods, and formats. Involves working independently.

Develop own capabilities by participating in assessment and development planning activities as well as formal and informal training and coaching; gain or maintain external professional accreditation, where relevant, to improve performance and fulfill personal potential. Maintain an understanding of relevant technology, external regulation, and industry best practices through ongoing education, attending conferences, and Reading specialist media.

Skills, Abilities, Knowledge:

Data Collection and Analysis

Data Control

Business Requirements Analysis

IT Data Management

Application Development

Business Data Modeling

Customer and Market Analysis

Perform Gap Analysis

Database Administration

Review and Reporting

Commercial Acumen

Education:

Bachelor's Degree or Equivalent Level

Specific Position Requirements:

Experience working in uncertain environments with limited requirements

SQL Query experience (1-3 years)

Combine raw data into useful summarizations

Python (3-5 years)

Pyspark (3-5 years)

Experience working with large scale data

Experience creating automated unit tests

Dashboard design experience (3-5 years)

Experience translating complex data into business visualizations

Experience with Tableau (1-3 years)

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Mandatory skills:

SQL Query,

Python,

Pyspark, Simulator,

automated unit tests, scale data, Dashboard design, business visualizations,

Tableau,

Data Collection, Data Analysis, Data Control, IT Data Management, standard data management tools, standard data management techniques, data recording, data management systems,

Business Requirements Analysis, Business Data Modeling, business requirements,

Application Development, Database Administration, database objects,

Customer Analysis, Market Analysis, Gap Analysis,

gathering, analyzing, documenting information requirements, data systems, analytics systems, platforms, analytics strategy

VIVA USA is an equal opportunity employer and is committed to maintaining a professional working environment that is free from discrimination and unlawful harassment. The Management, contractors, and staff of VIVA USA shall respect others without regard to race, sex, religion, age, color, creed, national or ethnic origin, physical, mental or sensory disability, marital status, sexual orientation, or status as a Vietnam-era, recently separated veteran, Active war time or campaign badge veteran, Armed forces service medal veteran, or disabled veteran. Please contact us at for any complaints, comments and suggestions.

Contact Details :

Account co-ordinator: Jothimani Natarajan

VIVA USA INC.

3601 Algonquin Road, Suite 425

Rolling Meadows, IL 60008

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About VIVA USA INC