Big Data Engineer

Randstad
Malvern, United States of America
yesterday

Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
$ 113K

Job location

Malvern, United States of America

Tech stack

Amazon Web Services (AWS)
Data analysis
Big Data
Bioinformatics
ETL
Python
SQL Databases

Job description

job summary: Responsibilities

Building and maintaining ETL pipelines, Data Analysis, Reimaging Technical Architecture for Analytics

Qualifications

Python, SQL, AWS Services

location: Malvern, Pennsylvania job type: Solutions salary: $48.46 - 54.46 per hour work hours: 8am to 5pm education: Bachelors

responsibilities: Responsibilities

  • Building and maintaining ETL pipelines, Data Analysis, Reimaging Technical Architecture for Analytics

qualifications: Qualifications

Python, SQL, AWS Services

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.

Any consideration of a background check would be an individualized assessment based on the applicant or employee's specific record and the duties and requirements of the specific job.

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Responsibilities

  • Building and maintaining ETL pipelines, Data Analysis, Reimaging Technical Architecture for Analytics

Requirements

Qualifications Python, SQL, AWS Services

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