AWS Data Engineer

Overview

On Site
BASED ON EXPERIENCE
Contract - Independent
Contract - W2

Skills

Organizational Skills
Business Intelligence
SANS
Scrum
Core Data
Warehouse
Migration
Data Warehouse
Management
Extract
Transform
Load
Data Integration
Database
SQL
PostgreSQL
Amazon Redshift
Python
Big Data
Cloud Computing
Amazon Web Services
Optimization
Data Governance
Data Quality
Regulatory Compliance
Artificial Intelligence
Machine Learning (ML)
Data Engineering
Workflow
Analytical Skill
Conflict Resolution
Problem Solving
Communication
Data Migration

Job Details

At Mando Technologies, we specialize in helping organizations unlock the full value of their data. From acquiring and organizing information to analyzing and delivering insights and ultimately integrating that intelligence into day-to-day operations we support the entire Business Intelligence journey from start to finish.

AWS Data Engineer
Juno Beach, FL (5 days onsite)

Rate to candidate is like $45 - $50/Hr on W2 (No benefits) Max.

Top Skills' Details


AWS experience as a Data Engineer - AWS Glue, Lambda and Redshift
Strong SQL skills- working on SQL databases
ETL experience

Secondary Skills - Nice to Haves
Job Description
Opportunity to join scrum team as a Data engineer supporting migration of data into core data warehouse setting up single source of truth for assets and work orders. He/she will work with AWS glue, postgres SQL, redshift, Lambda and other AWS technologies. They will work with Matillion for the ETL migration from postgres to redshift

Experienced in designing, implementing and hands on experience in data warehouse architectures and frameworks
b. ETL and Data Pipelines: Proficiency in designing and managing large-scale ETL processes and data pipelines
c. Implemented data integration strategies to connect disparate systems and data sources
d. Database Technologies: Deep experience with SQL, such as PostgreSQL, Redshift
e. Knows programming language such as Python; big data technologies;
f. Cloud Platforms: Advanced knowledge of cloud platforms like AWS, cost optimization
g. Experienced in data governance policies and standards for data quality, security, and compliance
h. AI and Machine Learning: Experience in implementing AI and machine learning models into data engineering workflows.
i. Strong analytical and problem-solving abilities & good communication skills to work effectively with team members, and business team.
j. Prior experience in handling data migration tools will be added advantage


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.