Purple Drive
Senior Data Engineer GCP & Python
Purple Drive, Jersey City, New Jersey, United States, 07390
Senior Data Engineer - GCP & Python
Location: Jersey City, NJ
( Onsite )
Employment Type:
Contract
Roles & Responsibilities
Design, develop, and optimize
data-driven solutions
leveraging
Python
and
Google Cloud Platform (GCP) . Build scalable data pipelines and applications with
strong Python development
expertise. Work extensively with
Google Cloud BigQuery
(mandatory) for advanced data analytics and data warehousing. Implement
Cloud Run
and
Pub/Sub
solutions (highly desired). Experience with
DataProc
and
DataFlow
on GCP preferred. Apply
serverless data warehousing
and
DW/BI frameworks
to meet business needs. Perform
data modeling, mapping, and integration
across structured and unstructured data sources. Collaborate with stakeholders and cross-functional teams to deliver secure, scalable, and high-performance solutions. Ensure compliance with regulatory requirements and follow data governance best practices. Required Skills
Mandatory:
Strong Python Development + Architect-level skills. Mandatory:
Google Cloud BigQuery expertise. Highly Desired:
Cloud Run, Pub/Sub, DataProc, DataFlow. SQL mastery across diverse databases. Strong understanding of Data Warehousing & BI modeling. Experience with cloud analytics tools such as
Cloudera
or
Hadoop .
Location: Jersey City, NJ
( Onsite )
Employment Type:
Contract
Roles & Responsibilities
Design, develop, and optimize
data-driven solutions
leveraging
Python
and
Google Cloud Platform (GCP) . Build scalable data pipelines and applications with
strong Python development
expertise. Work extensively with
Google Cloud BigQuery
(mandatory) for advanced data analytics and data warehousing. Implement
Cloud Run
and
Pub/Sub
solutions (highly desired). Experience with
DataProc
and
DataFlow
on GCP preferred. Apply
serverless data warehousing
and
DW/BI frameworks
to meet business needs. Perform
data modeling, mapping, and integration
across structured and unstructured data sources. Collaborate with stakeholders and cross-functional teams to deliver secure, scalable, and high-performance solutions. Ensure compliance with regulatory requirements and follow data governance best practices. Required Skills
Mandatory:
Strong Python Development + Architect-level skills. Mandatory:
Google Cloud BigQuery expertise. Highly Desired:
Cloud Run, Pub/Sub, DataProc, DataFlow. SQL mastery across diverse databases. Strong understanding of Data Warehousing & BI modeling. Experience with cloud analytics tools such as
Cloudera
or
Hadoop .