Data Engineer

Charlotte, NC, US • Posted 1 hour ago • Updated 1 hour ago
Contract W2
Contract Independent
No Travel Required
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Big Data
  • Cloud Computing
  • Cloud Storage
  • Data Flow
  • Data Modeling
  • Data Processing
  • Data Warehouse
  • Database
  • Design Review
  • ELT
  • Extract, Transform, Load
  • Finance
  • Good Clinical Practice
  • Google Cloud Platform
  • Programming Languages
  • Python
  • Regulatory Compliance
  • SQL
  • Scalability
  • Testing

Summary

Role: Data Engineer

The address for Interviews is 2151 Hawkins Street, Charlotte, 12th Floor
6+ months 
An in-person interview required. 
Glider test required 

Financial company experience needed 


Key skills:
Pyspark
Sql 
Python
Google Cloud Platform 


Data Engineer w/ Google Cloud Platform & SQL

  • Evaluates data requirements and stories, documents them for seamless integration into existing architectures, and maintains data models to support business needs.
  • Builds and enhances data pipelines and database designs to meet performance, scalability, and security requirements.
  • Collaborates in design reviews and testing and provides production environment support with guidance from peers and leaders.
  • Operates data assets according to consistent standards, guidelines, and policies.
  • Completes work reviews and fosters a collaborative learning environment.
  • Communicates and collaborates with business and product teams to facilitate changes and implementation.
  • Completes Big Data requirements by implementing basic partitioning and indexing solutions.
  • Collaborates and co-creates effectively with teams in product and the business to align technology initiatives with business objectives.
  • Google Cloud Platform Expertise: Hands-on experience with Google Cloud Platform services like BigQuery, Dataflow, Cloud Storage, Pub/Sub, Cloud Composer, and Cloud Functions.
  • Programming Languages: Strong proficiency in Python and SQL for data processing and manipulation.
  • ETL/ELT: Experience with ETL/ELT processes and data warehousing concepts.
  • Data Modeling: Understanding of data modeling principles and techniques.

Cloud Technologies: Knowledge of cloud computing concepts and standard processes

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91081606
  • Position Id: 8959735
  • Posted 1 hour ago
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