Data Engineer

  • Davenport, IA
  • Posted 13 days ago | Updated 3 hours ago

Overview

On Site
Full Time

Skills

Root cause analysis
Extract
transform
load
Data flow
Business requirements
Process improvement
Big data
Data security
Relational databases
Project management
Organizational skills
Object-Oriented Programming
Computer science
Customer support
Online training
Data
Oracle Linux
Design
Automation
Scalability
Extraction
Transformation
SQL
Amazon Web Services
Collaboration
Privacy
Analytical skill
Database
Scripting
Python
Java
Scala
Finance
Accounting
Marketing
Creativity
Legal
Artificial intelligence
Insurance
.NET

Job Details

Description

Job Title: Data Engineer

Job Description:

We are looking for a savvy Data Engineer to join our growing team of experts. The Data Engineer is responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross-functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up.

Responsibilities:
  1. Create and maintain an optimal data pipeline architecture.
  2. Assemble large, complex data sets that meet functional / non-functional business requirements.
  3. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  4. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, AWS 'big data' technologies and other platforms.
  5. Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs.
  6. Collaborate with data scientists, data analysts, and other business units to understand data needs and implement solutions.
  7. Ensure data privacy and implement measures for data security.


Requirements

Qualifications:
  • Strong analytic skills related to working with unstructured datasets.
  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
  • Experience building and optimizing 'big data' data pipelines, architectures and data sets.
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Strong project management and organizational skills.
  • Experience supporting and working with cross-functional teams in a dynamic environment.
  • Strong experience with object-oriented/object function scripting languages: Python, Java, Scala, etc.
  • Bachelor's or Master's degree in computer science, engineering or a related field.


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