Apply for this job.

Please fill out the form below to apply for this job.

 We only accept .doc, .docx, .pdf, and .odt files
 

Big Data Engineer.

  Winston Salem, North Carolina

Negotiable
384
Direct Hire
Apply Now

Prosyntix is recruiting for a Big Data Engineer role with one of their clients in Winston-Salem, NC that can sit 100% remotely. This is a full-time/permanent opportunity with a Fortune 500 client.

Responsibilities:

The Big Data Engineer participates in all phases of the data ingestion, data transformation, data warehouse design, and performance optimization process. Data engineers will work closely with the Data Architect to design, develop, test, implement, and maintain infrastructural components that data architects design.

Some of the most common responsibilities for a data engineer include:

Develop, construct, test and maintain data pipelines and architectures
Align architecture with business requirements
Actively collaborate with Data Architect and other team members to translate functional specifications into actionable scalable technical implementations
Aggregate & transform raw data coming from a variety of data sources to fulfill business needs
Create data models to reduce system complexity and increase efficiency & reduce cost
Prepare data for prescriptive and predictive modeling and descriptive analytics
Maintain awareness of best practices for data acquisitions and explore new ways of using existing data
Identify ways to improve data reliability, efficiency and quality
Create end-to-end solutions by integrating a variety of programming languages & tools together
Automate processes, optimize data delivery, adjust architecture to improve performance
Introducing new data management tools & technologies into the existing system to make it more efficient
Collaborate with data scientists and architects to provide continuous high quality product delivery
Drive collaborative reviews of design, code, data, features implementation performed with other data engineers in support of maintaining data engineering standards
Adheres to applications security procedures, change control guidelines and coding structures, Sarbanes-Oxley IT and business requirements
Performs other duties as assigned
Complies with all policies and standards


Qualifications:

Minimum Education and Experience Required:

Requires advanced knowledge of job area typically obtained through advanced education combined with experience. May have practical knowledge of project management.
Typically requires a University Degree or equivalent experience and minimum 5 years of prior relevant experience
Deep understanding of Azure Cloud environment and data architecture principles
Programming Language Experience: Advanced SQL/T-SQL, SAS, Python, R, Powershell, Java
Application Experience: Microsoft Azure App-Stack (Azure Synapse, SQLServer, Datafactory, Databricks, Dataflow, SSAS), Power-BI, DevOps, SAS

Let’s Get in Contact to Discuss Your Project

Contact Us