Senior Data Engineer

Blue Ribbon Global Technologies

Job Location:

Chicago, IL - USA

Monthly Salary: Not Disclosed

Posted on: 15 hours ago

Vacancies: 1 Vacancy

Job Summary

Senior Data Engineer

We are seeking a Senior Data Engineer to lead the design development and maintenance of scalable high-performance data solutions focused on Data Centralization Governance and Integrity. This is a highly technical role requiring expertise in Google Cloud Platform (GCP) native services (BigQuery Dataflow Dataproc) to build automated cost-efficient and complex data pipelines. The ideal candidate will be a technical leader making key architectural decisions implementing robust data frameworks and mentoring junior engineers. This position requires a strong commitment to working full-time onsite (with potential remote flexibility on Fridays) and leveraging data engineering expertise to drive business insights and analytics.

Key Requirements

Experience & Education:
- 5-6 years of experience as a Data Engineer or in a comparable Business Intelligence role.
- Bachelor of Science in Information Technology Computer Science or a related technical field.
Cloud & Pipeline Expertise (Required):
- Proficiency with GCP (Google Cloud Platform) offering is required
- Expertise in designing and building large-scale automated data pipelines using GCP native services (e.g. BigQuery Dataflow Dataproc).
- Experience with Terraform to create and maintain intermediate to advanced infrastructure-as-code scripts is a plus
Database & Coding Skills:
- 4-5 years minimum experience with relational databases (MS-SQL Postgres or Oracle).
- 3-4 years of experience with NoSQL databases (Capella or MongoDB).
- 2-3 years of experience with Python or a similar language.
- Ability to work with multi-statement complex queries and enhance performance/troubleshoot issues.
Architecture & Governance:
- Proven ability to make key architectural decisions related to data modeling storage and real-time processing.
- Experience assisting with data governance quality and lineage practices using tools like Data Catalog DLP or Cloud Audit Logs.
- Experience translating business requirements into technical design documents.
Work Schedule & Location:
- Full-time onsite commitment required (Monday-Friday 8a-5p) with remote flexibility for Fridays pending manager approval.
Desired Experience (Bonus):
- Experience in the logistics or transportation industry (1-3 years).
- Proven ability to mentor junior engineers and provide technical guidance.
- Experience with monitoring and optimizing GCP resources for cost management.

Required Skills :

Basic Qualification :

Additional Skills :

This is a high PRIORITY requisition. This is a PROACTIVE requisition

Background Check : No

Drug Screen : No

Senior Data EngineerWe are seeking a Senior Data Engineer to lead the design development and maintenance of scalable high-performance data solutions focused on Data Centralization Governance and Integrity. This is a highly technical role requiring expertise in Google Cloud Platform (GCP) native serv...

Senior Data Engineer

Key Requirements

Experience & Education:
- 5-6 years of experience as a Data Engineer or in a comparable Business Intelligence role.
- Bachelor of Science in Information Technology Computer Science or a related technical field.
Cloud & Pipeline Expertise (Required):
- Proficiency with GCP (Google Cloud Platform) offering is required
- Expertise in designing and building large-scale automated data pipelines using GCP native services (e.g. BigQuery Dataflow Dataproc).
- Experience with Terraform to create and maintain intermediate to advanced infrastructure-as-code scripts is a plus
Database & Coding Skills:
- 4-5 years minimum experience with relational databases (MS-SQL Postgres or Oracle).
- 3-4 years of experience with NoSQL databases (Capella or MongoDB).
- 2-3 years of experience with Python or a similar language.
- Ability to work with multi-statement complex queries and enhance performance/troubleshoot issues.
Architecture & Governance:
- Proven ability to make key architectural decisions related to data modeling storage and real-time processing.
- Experience assisting with data governance quality and lineage practices using tools like Data Catalog DLP or Cloud Audit Logs.
- Experience translating business requirements into technical design documents.
Work Schedule & Location:
- Full-time onsite commitment required (Monday-Friday 8a-5p) with remote flexibility for Fridays pending manager approval.
Desired Experience (Bonus):
- Experience in the logistics or transportation industry (1-3 years).
- Proven ability to mentor junior engineers and provide technical guidance.
- Experience with monitoring and optimizing GCP resources for cost management.