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GCP Data Engineer

Company:
Mindlance
Location:
Union, NJ
Posted:
May 15, 2025
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Description:

Contract - W2 Position

Summary

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

Responsibilities

Design, develop, and implement scalable data pipelines and associated processes using Google Cloud Platform (GCP) services

Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions

Build and maintain data architecture to support the new data product

Optimize and enhance data processing workflows for performance, reliability, and scalability

Ensure data quality, integrity, and security throughout the data lifecycle

Monitor and troubleshoot data pipelines and systems to ensure smooth operation

Document technical specifications, processes, and workflows for future reference and knowledge sharing

Qualifications

Experience

Realtime and batch data integration development experience using GCP services

Experience extracting, transforming, and loading data from various types of sources

Demonstrated ability to lead projects and teams, with experience as a technical lead or similar leadership role

Preferred: financial services industry experience

Technical skills

SQL

Google BigQuery

Google Cloud Data Pipeline Tools (such as Google Cloud Datastream, DataFlow etc.)

Google Cloud Composer

Google Cloud Run

GitHub

Python

Teraform

Preferred

DBT Open Source

Google Pub/Sub

Salesforce data integration experience

Oracle/SQL server data integration experience

Soft Skills

Exceptional communication and interpersonal skills, with the ability to engage and influence business stakeholders

Strong personality and polished presence, capable of driving collaboration and alignment across teams

Thought leadership and ability to inspire teams and stakeholders in data transformation initiatives

Work Environment

Familiarity with Agile methodologies, including participation in daily stand-ups and iterative development cycles

Ability to work effectively in a fast-paced, collaborative prefer

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