Big Data Analytics Engineer

Avance Consulting Services; St. Louis (MO); On-site; USD 90,000 - 120,000; Full time

Job summary

A technology consulting firm in St. Louis seeks a candidate to develop and implement an end-to-end Cloud solution for analytics. Responsibilities include collaborating with data science and engineering teams, mastering AWS services, and integrating big data infrastructures. Candidates must have a Master's degree in a related field and 3+ years of relevant work experience in Python and Big Data technologies. This role offers a dynamic work environment focused on growth and innovation.

Qualifications

• Master’s degree in relevant field required.
• 3+ years of post-education work experience.
• Strong OOP or functional programming experience with Python.

Responsibilities

• Develop and implement a full end-to-end Cloud solution.
• Become an expert in AWS services and help integrate big data infrastructure.
• Collaborate with scientists and develop new solutions.

Skills

Big Data

Python

H-base

Mongo-DB

Map-Reduce

Spark

API Development

Project Management

Verbal Communication

Written Communication

Education

Master’s Degree in Computer Science, Engineering, or related field

Tools

Amazon Web Services

Google Compute Engine

Job description

Job Description

Location- St. Louis, Missouri

Duration- Full Time

Job Description:

In this role, the candidate will work closely with the data science group and software engineering group to develop and implement a full end-to-end Cloud solution for our analytics backend including Infrastructure Design, Platform, Automation, and Storage Architecture. You will become an expert of AWS services that we leverage and help us to efficiently integrate our big data infrastructure in the AWS cloud. The successful candidate will have the opportunity to work collaboratively with interdisciplinary scientists internal to Monsanto, organize challenging problems, develop new solutions, and work with business & development teams to ensure these solutions deliver value.

Education:

Master’s Degree in Computer Science, Engineering, or a related field

Employment:

As a condition of employment with Company, any successful job applicant will be required to pass a pre-employment drug screen and to successfully complete a background investigation, which may also include a credit check for positions in some areas of our business.

Thanks,

Ganesh Gani

Direct: [phone]

100 Franklin Square Drive #207, Somerset, NJ 08873

Tel [phone] | Fax [phone]

www.tricolor.com | Certified Minority Business Enterprise (MBE)

Responsibilities

• Work with the data science group and software engineering group to develop and implement a full end-to-endCloud solution for analytics backend including Infrastructure Design, Platform, Automation, and Storage Architecture.
• Become an expert of AWS services leveraged by the organization and help integrate big data infrastructure in the AWS cloud.
• Collaborate with interdisciplinary scientists, organize challenging problems, and develop new solutions.
• Work with business & development teams to ensure solutions deliver value.

Qualifications

• Education: Master’s Degree in Computer Science, Engineering, or a related field
• 3+ years post-education work experience
• Strong object oriented and/or functional programming experience with at least 3+ years of experience using Python
• Experience with virtualized infrastructure and Infrastructure as a Service (IaaS) such as Amazon Web Services, or Google Compute Engine
• Experience with Big data ecosystem including H-base, Mongo-DB, Map-Reduce, and Spark
• Understanding of developing systems and software around APIs and creating services and microservices
• Excellent verbal and written communication skills
• Excellent project management skills, demonstrated ability to deliver detailed technical documentation and manage tasks
• Comfortable working in a dynamic environment and developing flexible solutions to meet evolving requirements
• Required Technical Skills: Big Data, Python, including H-base, Mongo-DB, Map-Reduce, and Spark

EEO and Employment Information

All your information will be kept confidential according to EEO guidelines.