Senior Data Engineer — Scalable Pipelines & GCP Expert

FastTek Global; Dearborn (MI); On-site; USD 110,000 - 140,000; Full time

Benefits offered by this job

Medical and Dental

Vision

PTO Program

Long Term Disability

Life Insurance

401(k) with match

Job summary

FastTek Global is seeking an experienced Data Engineering Engineer 3 in Dearborn, MI. The role focuses on designing, building, and maintaining data solutions, data infrastructure, and pipelines to handle large data volumes efficiently.

You will collaborate with stakeholders to define data requirements, develop scalable data platforms, and implement governance and cost optimization. Bachelor’s degree and 7+ years of experience required.

Qualifications

• 7+ years of Data Engineering experience
• Bachelor's Degree in a related field preferred

Responsibilities

• Collaborate with business and technology stakeholders to understand current and future data requirements
• Design, build and maintain reliable, efficient and scalable data infrastructure for data collection, storage, transformation, and analysis
• Plan, design, build and maintain scalable data solutions including data pipelines, data models, and applications for efficient and reliable data workflow
• Design, implement and maintain existing and future data platforms like data warehouses, data lakes, data lakehouse etc. for structured and unstructured data
• Design and develop analytical tools, algorithms, and programs to support data engineering activities like writing scripts and automating tasks
• Ensure optimum performance and identify improvement opportunities
• Lead the design, development, and maintenance of scalable data ingestion and curation pipelines from diverse sources

Skills

GCP Cloud Run

KAFKA

Cloud Architecture

Software Development

SQL

Cloud Computing

Big Data

BigQuery

Python

Java

API

Google Cloud Platform

Education

Bachelor's Degree

Job description

FastTek Global is seeking an experienced Data Engineering Engineer 3 in Dearborn, MI. The role focuses on designing, building, and maintaining data solutions, data infrastructure, and pipelines to handle large data volumes efficiently.

You will collaborate with stakeholders to define data requirements, develop scalable data platforms, and implement governance and cost optimization. Bachelor’s degree and 7+ years of experience required.