Purple Drive
Senior Data Engineer GCP & Python (Architect Level)
Purple Drive, Jersey City, New Jersey, United States, 07390
Title:
Senior Data Engineer - GCP & Python (Architect Level)
Location:
New Jersey (Onsite)
Type:
Contract
Job Overview
We are seeking a highly skilled
Senior Data Engineer with Python and GCP 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 (GCP) . 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
GCP solutions . Hands-on experience with:
Cloud Run & Pub/Sub BigQuery (mandatory) DataProc & DataFlows Serverless data warehousing
concepts on GCP
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.
Senior Data Engineer - GCP & Python (Architect Level)
Location:
New Jersey (Onsite)
Type:
Contract
Job Overview
We are seeking a highly skilled
Senior Data Engineer with Python and GCP 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 (GCP) . 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
GCP solutions . Hands-on experience with:
Cloud Run & Pub/Sub BigQuery (mandatory) DataProc & DataFlows Serverless data warehousing
concepts on GCP
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.