GCP Data Engineer

KYYBA Inc; Dearborn (MI); Hybrid; USD 82,656 - 96,432; Full time

Benefits offered by this job

401k

Term life and disability insurance

Optional pre-paid legal plan

Optional identity theft plan

Opportunity for advancement

Long-term assignment with opportunity for hire by client

Job summary

A leading technology firm is seeking a GCP Data Engineer for a long-term contract based in Dearborn, MI. The role involves designing, building, and maintaining data solutions for large volumes of data. Candidates should have strong analytical skills and experience in ETL, data modeling, and using tools such as GCP and BigQuery. The role requires 4 days in the office and offers competitive benefits including a 401k and life insurance.

Qualifications

• Strong curiosity and analytical skills.
• Ability to work in an agile environment.
• Strong verbal and written communication skills.
• Highly collaborative but able to work independently.

Responsibilities

• Collaborate with stakeholders to understand data requirements.
• Design and maintain data infrastructure for collection and analysis.
• Build scalable data solutions including pipelines and models.
• Maintain data platforms for structured and unstructured data.
• Develop analytical tools and automate tasks.
• Ensure optimum performance and identify improvement opportunities.

Skills

Data/Analytics

ETL

Data Modeling

Data Warehousing

Analytical skills

Education

Bachelor's Degree

Tools

GCP

BigQuery

Data Form

Qlik Replicate

Job description

Overview

Kyyba is seeking a GCP Data Engineer for a long-term contract in Dearborn, MI. The role involves designing, building, and maintaining data solutions for collecting, storing, processing, and analyzing large volumes of data.

Job Details

• Job Title: GCP Data Engineer
• Duration: Long term
• Rate: $60-70 per hour on W2
• Location: Dearborn, MI
• Office schedule: 4 days in the office

Responsibilities

1. Collaborate with business and technology stakeholders to understand current and future data requirements
2. Design, build and maintain reliable, efficient and scalable data infrastructure for data collection, storage, transformation, and analysis
3. Plan, design, build and maintain scalable data solutions including data pipelines, data models, and applications for efficient and reliable data workflow
4. Design, implement and maintain existing and future data platforms like data warehouses, data lakes, data lakehouse etc. for structured and unstructured data
5. Design and develop analytical tools, algorithms, and programs to support data engineering activities like writing scripts and automating tasks
6. Ensure optimum performance and identify improvement opportunities

Qualifications

• Skills Required: Data/Analytics, ETL, Data Modeling, Data Warehousing, Analytical skills
• Education: Bachelor\'s Degree
• Experience: The ideal candidate will have strong curiosity and analytical skills; be a self-starter with the ability to work in an agile environment and with ambiguity; strong verbal and written communication; highly collaborative but able to work independently. Key skills include defining requirements, data modeling, ETL and pipeline development. Bonus skills include GCP, BigQuery, Data Form and Qlik Replicate.
• Bonus skills: GCP, BigQuery, Data Form and Qlik Replicate

Location & Schedule

• Location: Dearborn, MI
• Office requirement: 4 days in the office

Company & Diversity

Kyyba is an Equal Opportunity Employer. Kyyba does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, disability, national origin, veteran status, or any other basis covered by law. Minorities / Females / Protected Veterans / Individuals with Disabilities are encouraged to apply. Reasonable accommodation is available upon request. If reasonable accommodation is needed, please contact Kyyba at 248-813-9665.

Rewards & Benefits

• 401k
• Term life and voluntary life and disability insurance
• Optional pre-paid legal plan
• Optional identity theft plan
• Optional Medical and dependent FSA
• Opportunity for advancement
• Long-term assignment with opportunity for hire by client