Senior Data Engineer Google Cloud Platform & Python (Architect Level)

Overview

On Site

Full Time

Part Time

Accepts corp to corp applications

Contract - W2

Contract - Independent

Skills

Jersey

Warehouse

IT Management

Extract

Transform

Load

Management

Collaboration

Regulatory Compliance

Information Security Governance

Python

Data Flow

Data Warehouse

Google Cloud Platform

Google Cloud

SQL

Database

Modeling

Data Mapping

Data Modeling

Unstructured Data

Cloudera

Apache Hadoop

Cloud Computing

Analytics

Analytical Skill

Problem Solving

Conflict Resolution

Communication

API

Data Analysis

Leadership

Data Engineering

Job Details

Title: Senior Data Engineer Google Cloud Platform & Python (Architect Level)

Location: New Jersey (Onsite)

Type: Contract

Job Overview

We are seeking a highly skilled Senior Data Engineer with Python and Google Cloud Platform expertise to take on an architect-level role. The ideal candidate will have strong hands-on Python development experience, deep knowledge of Google Cloud services (BigQuery, Cloud Run, Pub/Sub, DataProc, DataFlows), and proven skills in data modeling, warehousing, and analytics. This role requires technical leadership, problem-solving ability, and collaboration with cross-functional teams to deliver scalable, secure, and optimized data solutions.

Key Responsibilities

Lead and architect data engineering solutions using Python and Google Cloud Platform (Google Cloud Platform).
Design, develop, and optimize data pipelines, dataflows, and ETL processes.
Build and manage serverless data warehousing solutions leveraging BigQuery.
Work with structured and unstructured data sources using cloud analytics tools (Cloudera, Hadoop, etc.).
Implement data mapping, modeling, and transformation frameworks.
Collaborate with business and IT stakeholders to gather requirements and design scalable solutions.
Provide architectural guidance on data analytics tools, frameworks, and best practices.
Ensure compliance with security, governance, and regulatory requirements.

Required Skills

Strong Python development experience (mandatory).
Architect-level expertise in designing and implementing Google Cloud Platform solutions.
Hands-on experience with:
- Cloud Run & Pub/Sub
- BigQuery (mandatory)
- DataProc & DataFlows
- Serverless data warehousing concepts on Google Cloud Platform
Deep knowledge of SQL across multiple databases.
Familiarity with DWBI modeling frameworks.
Experience with data mapping and data modeling.
Exposure to structured and unstructured data processing.
Familiarity with Cloudera, Hadoop, or equivalent cloud analytics platforms.
Strong analytical, problem-solving, and communication skills.

Nice to Have

Experience with Spanner and API development.
Familiarity with advanced data analytics tools.
Leadership or managerial exposure in data engineering projects.

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