Google Cloud Platform Data Engineer

Jobs via Dice; Brooklyn (OH); Remote; USD 100,000 - 150,000; Full time

Job summary

A leading company is seeking a Google Cloud Data Engineer to enhance their new data product development. The ideal candidate will lead data initiatives, ensuring quality and scalability in data systems while collaborating with teams in an Agile format. This full-time position offers a dynamic environment for mid-senior level professionals in information technology.

Qualifications

• Experience with real-time and batch data integration using Google Cloud Platform services.
• Proficiency in extracting, transforming, and loading data from various sources.
• Leadership experience, with a history of leading projects or teams.

Responsibilities

• Design, develop, and implement scalable data pipelines using Google Cloud Platform services.
• Collaborate with cross-functional teams to understand data requirements.
• Optimize data processing workflows for performance, reliability, and scalability.

Skills

SQL

GitHub

Python

Terraform

DBT

Google Pub/Sub

Salesforce data integration

Oracle/SQL Server data integration

Job description

Title: Google Cloud Platform Data Engineer

Location: Remote (Preferably from Cleveland, OH)

Duration: 6+ Months

Summary

Seeking a Google Cloud Data Engineer to join a talented team to build a new and exciting data product. The ideal candidate will have a strong technical background, leadership experience, and excellent communication skills to engage business stakeholders and drive data transformation initiatives in an Agile environment.

Responsibilities

1. Design, develop, and implement scalable data pipelines using Google Cloud Platform services.
2. Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions.
3. Build and maintain data architecture to support the new data product.
4. Optimize data processing workflows for performance, reliability, and scalability.
5. Ensure data quality, integrity, and security throughout the data lifecycle.
6. Monitor and troubleshoot data pipelines and systems for smooth operation.
7. Document technical specifications, processes, and workflows for knowledge sharing.

Qualifications

• Experience with real-time and batch data integration using Google Cloud Platform services.
• Proficiency in extracting, transforming, and loading data from various sources.
• Leadership experience, with a history of leading projects or teams.

Preferred Skills

• Experience in financial services industry.
• Skills in SQL, Google BigQuery, Google Cloud Data Pipeline tools (DataFlow, Datastream), Cloud Composer, Cloud Run, GitHub, Python, Terraform, DBT, Google Pub/Sub, Salesforce data integration, Oracle/SQL Server data integration.

Soft Skills

• Exceptional communication and interpersonal skills.
• Strong personality with polished presence.
• Ability to inspire teams and stakeholders in data initiatives.

Work Environment

• Familiarity with Agile methodologies.
• Ability to work effectively in a fast-paced, collaborative environment.

Seniority Level

Mid-Senior level

Employment Type

Full-time

Job Function

Information Technology

Industry

Software Development