Cloud Data Engineer

Description

Netezza and AWS/ Quant Modeling and R or Python
Data Engineer who has a passion for turning large scale data into actionable intelligence. If you have a programming background and are looking to help use those skills to maintain, improve, clean, manipulate and enhance data in both operational and analytics databases, then please consider applying today! This role is great mix of combining programming and data in order to solve strategic business solutions. Responsibilities include Handle large datasets, both clean and unclean, and work with teammates to build technical solutions that are scalable, fast, maintainable and reusable. Design, implement and maintain enterprise data warehouse in alignment with data and analytics vision and strategy.
Understand and aid in implementation of database requirements, troubleshoot issues, analyze and optimize performance.
Development and deployment of robust and scalable data platforms for advanced analytics and data processing.
Help architect, build and launch highly scalable and reliable data pipelines.
Accountable for leading and mentoring other team members in best practices, standardization and procedures around data warehousing and development processes to ensure data quality and integrity
Research, maintain and evaluate emerging data engineering and warehousing technologies and solutions for continuous improvements to solve business problems.
Qualifications Associate's or Bachelor's degree in a science, technology, engineering, or math related field or equivalent work experience (6 years of experience equates to an Associates degree when defining equivalent work experience)
4+ years of development experience in data movement and analysis Preference will be given to candidates who have a strong Software Development/Engineering background
Additional preferred technical experience Cloud computing, data movement and analysis AWS ecosystem
Database design SQL, noSQL, JSON, file and data tagging
Operational and Enterprise data, reporting data marts and services
Data processing and analysis R and Python scripting
Data visualization MS PowerBI
Data optimization
Data architecture, modeling, storage, mapping, transformation, utilization, analytics