Job Description :
Hi Team,

Working on my Client requirement for below Position. Please go through my requirements and Let me know if you have any Candidates. 

Role - Data Engineer  (2 openings)

Location:  Des Moines, Iowa

Long term contract
Phone and Skype

Qualifications for Experienced Data Engineer: 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 Associate''s 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, no-SQL, 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

Netezza Keys to success in this position:

Eagerness to learn and apply a basic to advanced knowledge of investment management products and services

Strong work ethic •Ability to challenge the status quo

Desire to continuously improve

Aptitude for solving problems using resources available  

Experienced Data Engineer who has a passion for turning large scale data into actionable intelligence. 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 un-clean, 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 dataplatforms for advanced analytics and data processing.

Help architect, build and launch highly scalable and reliable datapipelines.

Accountable for leading and mentoring other team members in best practices, standardization and procedures around datawarehousing 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.

Comments/Special Instructions

Prefer relevant work experience with Cloud, R and Python experience, a natural leader who can teach through doing.